Next Article in Journal
Implementation of a Fuzzy Logic Controller for the Irrigation of Rose Cultivation in Mexico
Next Article in Special Issue
Development of Thermal Performance Metrics for Direct Gas-Fired Circulating Heaters
Previous Article in Journal
Effect of Forage Processor Roll Gap Width and Storage Length on Fermentation Profile, Nutrient Composition, Kernel Processing Score, and Starch Disappearance of Whole-Plant Maize Silage Harvested at Three Different Maturities
Previous Article in Special Issue
Equipment Performance, Costs and Constraints of Packaging and Transporting Rice Straw for Alternative Uses to Burning in the “Parc Natural l’Albufera de València” (Spain)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Current Knowledge and Future Directions for Improving Subsoiling Quality and Reducing Energy Consumption in Conservation Fields

1
College of Engineering, China Agricultural University, Beijing 100083, China
2
College of Enology, Northwest A&F University, Yangling 712100, China
3
College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Xinjiang 830052, China
4
Shandong Academy of Agricultural Machinery Sciences, Shandong 250100, China
*
Author to whom correspondence should be addressed.
Submission received: 21 May 2021 / Revised: 15 June 2021 / Accepted: 20 June 2021 / Published: 23 June 2021
(This article belongs to the Special Issue Agricultural Structures and Mechanization)

Abstract

:
Subsoiling has been acknowledged worldwide to break compacted hardpan, improve soil permeability and water storage capacity, and promote topsoil deepening and root growth. However, there exist certain factors which limit the wide in-field application of subsoiling machines. Of these factors, the main two are poor subsoiling quality and high energy consumption, especially the undesired tillage depth obtained in the field with cover crops. Based on the analysis of global adoption and benefits of subsoiling technology, and application status of subsoiling machines, this article reviewed the research methods, technical characteristics, and developing trends in five key aspects, including subsoiling shovel design, anti-drag technologies, technologies of tillage depth detection and control, and research on soil mechanical interaction. Combined with the research progress and application requirements of subsoiling machines across the globe, current problems and technical difficulties were analyzed and summarized. Aiming to solve these problems, improve subsoiling quality, and reduce energy consumption, this article proposed future directions for the development of subsoiling machines, including optimizing the soil model in computer simulation, strengthening research on the subsoiling mechanism and comprehensive effect, developing new tillage depth monitoring and control systems, and improving wear-resisting properties of subsoiling shovels.

1. Introduction

As the important factor in crop growth, soil is a valuable agricultural resource, a significant production factor, and an indispensable foundation supporting the sustainable development of agriculture [1]. The ideal farmland soil is composed of 50% soil particles with organic matter and 50% pores; additionally, with respect to pores, the moisture and air respectively account for 25% [2]. However, due to long-term conventional ploughing practices, hardpan has been shaped, which is a typical form of soil compaction [3,4]. Consequently, the failure layer is formed, resulting in the rearrangement of soil particles under external forces [5,6], and giving rise to a reduction in soil porosity and an increase in bulk density [7,8,9]. The root-system penetrability is affected by soil compaction, and especially the high-level compaction inhibits the root growth [10]. The hardpan binds root proliferation, reduces root penetration, and decreases root length and dry matter [11]. In addition, the key enzymes required for plant respiration show a downward trend with increasing compaction stress, which leads to impaired root function and the loss of nutrient absorption [12,13,14,15].
Subsoiling can break the hardpan and alleviate the soil compaction without turning ploughing soil and disrupting the original topsoil structure [16]. Compared with conventional ploughing, the subsoiling tillage at 30 cm, 35 cm, and 40 cm decreased the mean bulk density by 4.59%, 7.13%, and 8.27% and reduced soil compactness by 17.62%, 23.63%, and 36.42%, respectively [17]. Meanwhile, subsoiling increased soil porosity, enhanced soil infiltration and water storage capacity, and decreased water inputs per growing day [18]. Additionally, in comparison with the rotary tillage, the subsoiling practice significantly increased the average root length density by 13% due to the better root penetration in both horizontal and vertical directions. Moreover, the average grain yield and dry matter weight of maize were respectively increased by 6.3% and 3.7% [19]. Furthermore, subsoiling improved the activity of plant-protective enzymes in maize root, reduced the degree of peroxide in cell membrane substances, and delayed the senescence of maize root. It is conducive to maintaining root system vitality in the later growth stage of maize [20]. Therefore, subsoiling is classified as a resource-saving and environmental-friendly technology, and is significant in promoting the sustainable development of agriculture [21,22,23,24].
In the early 1930s, some countries in North America and Europe began to use subsoiling technology to solve soil problems. Thanks to the significant effects of subsoiling on the repair and protection of arable land, the combination of tillage methods and comprehensive utilization of subsoiling technology has become increasingly close in these regions. The proportion of arable land that adopted subsoiling in Europe was 15.4% in 2005. Meanwhile, the proportion in North America exceeded 40% in 2006. Until 2015, the proportion in European and American areas had reached 60% [25]. In some Asian countries, subsoiling technology was adopted relatively late. To address the issue of the crop yield decline caused by soil compaction, China has promulgated a series of associated regulations to promote subsoiling and land preparation technologies since 2009 (Table 1). By the end of 2018, the subsoiling was practiced on 10.6 Mha, accounting for 7.41% of the total arable land [26]. At present, subsoiling technology is being widely used in scientific experiments and actual productions of various crops such as wheat, corn, cotton, sugar cane, tobacco, and soya beans.
Subsoiling machines are indispensable to mechanized subsoiling, and their performance directly affects the hardpan’s broken quality, topsoil structure, soil permeability, soil microbial quantity, root growth, and crop yield [36]. According to their working function, subsoiling machines can be divided into single-function subsoiling machines and multi-function subsoiling machines. The single subsoiling machines can be further divided into two categories: subsoiling ploughs and omni-directional subsoilers [37]. Some typically available subsoiling machines around the world are discussed in Table 2. Subsoiling machines in certain countries with large per-capita arable land areas (e.g., America, Canada, Australia, Russia) are mainly matched with high-power tractors which have several advantages, such as large tillage width, fast operation speed, high operation efficiency, and advanced machining technology. On the contrary, for those countries with small per-capita arable land areas, such as China and Japan, the per-capita arable land areas are respectively only about 0.08 ha and 0.03 ha, which are merely approximately one-sixth and one-twentieth of that in America, and about 0.038 and 0.014 times as large as Australia, respectively [38]. The subsoiling machines are mainly matched with small or medium-power tractors. The features of subsoiling machines in these countries include small size, light weight, flexible operation, and low cost. Nevertheless, current subsoiling machines have some problems with their performance, such as poor soil loosening quality, undesired soil disturbance, unstable tillage depth, high power consumption, and rapid wear of shovels.
In order to improve subsoiling quality and reduce energy consumption in the field with cover crops, several studies have been conducted on subsoiling shovel structure, anti-drag technologies, tillage depth detection and control, and soil-mechanical interaction [45,46,47,48,49,50,51]. Various subsoiling shovels are capable of meeting the needs of different regions in different countries. Reducing tillage resistance during subsoiling makes subsoiling machines more prominent with the advantages of resource saving and being environmentally friendly. Modern sensor detection technology and electronic-hydraulic control technology are used to accurately control the tillage depth of subsoiling machines, which benefits in terms of conserving moisture and preparing a good seedbed [19,52,53,54,55]. Additionally, soil-mechanical interaction mechanisms presented in micro and macro ways, mainly clarified via theoretical analysis and simulation, are an important means to realize the efficient development of the abovementioned studies. The integration of abovementioned technologies contributes greatly to the improvement of subsoiling quality and the reduction of energy consumption in the field with cover crops.
The goal of this study was to comprehensively review the existing literature related to technologies for improving subsoiling quality and reducing energy consumption currently being used in subsoiling machines. This article was based on the following aspects and organized as follows. Section 2 states the methods of design and optimization of subsoiling shovels, commenting on the different types of available shovels. Then, Section 3 explores five ways to reduce tillage resistance. Section 4 and Section 5 provide a review of tillage depth detection and control, applying sensor detection technology and electro hydraulic control technology. Section 6 delves into the application of theoretical analysis and discrete element analysis in research on soil-mechanical interaction. Finally, in Section 7, recommendations are given for the future development of subsoiling machines.

2. Subsoiling Shovel Design

Subsoiling shovels are the main working parts of a subsoiling machine [37]. Their design has a significant influence on subsoiling quality and tillage resistance [56,57]. The common types of commercial shovels are chisel, winged, “V” shaped, and side bended shovels. Through optimizing the penetrating angle, the opening angle of winged shovels, and the shovel-handle structure, some subsoiling shovels with better working performance have been developed. The comparisons among these shovels are shown in Table 3.
Table 3. Subsoiling shovel type, model, country, working width, working depth, matched power, number, and feature.
Table 3. Subsoiling shovel type, model, country, working width, working depth, matched power, number, and feature.
TypeModelCountryWorking Width (cm)Working Depth (cm)Matched Power (KW)NumberFeature
chisel1S-225C [58]Germany20050–6555–1293Adjustable of chisels for any tractor track width
chisel1S-150A
(Figure 1a) [59]
China15025–3036.8–51.53Low tillage resistance
winged PINOCCHIO200
[60]
Italy130–3004550–1603–7Available in different widths and shovel numbers
winged1S-200 (Figure 1b)
[61]
China200300–400705Good flow of soil under the shovel
V shaped1SQ-340 (Figure 1c) [62]China15540–5073.6–88.33Forming mole drains at the bottom with smaller resistance
side bended
side bended
DALBO Ratoon
[63]
1S-250
(Figure 1d) [64]
Denmark
China
120–300
250
55
25–50
30–120
89–106.6
2–8
6
Low power requirement
Special cambered surface
In order to improve quality, reduce resistance, and increase efficiency, a cambered subsoiler shank was designed by Chen [65]. The test showed that the subsoiling resistance was the smallest when the sweep angle was 50°. Based on the orthogonal experiment’s results, i.e., the penetrating angle had a significant effect on subsoiling resistance, Liu et al. [47] optimized the chisel shank’s structure and found that the resistance was minimal when the rack angle was 21°. Zhao et al. [66] designed a fitting curve-shaped shank and clarified the effect of the shovel tip on the soil particle’s movement. The results of the comparison test between the fold-line-typed shank and the circular shank showed that the fitting curve-shaped shank effectively reduced soil disturbance and tillage resistance. By simulation analysis and digitized soil-bin experiments, Wang et al. [67] demonstrated that, on the circular shank, the optimum installing height of the winged shovel was 75 mm.
The shank type, penetrating angle, opening angle of the winged shovel, and shovel-handle structure are the main factors influencing the tillage resistance of subsoiling shovels. In order to improve subsoiling quality and reduce tillage resistance, these factors are used as the target parameters. Through subsoiling simulation and soil-bin and field trials, the effect of shovel structure on the tillage resistance as well as soil disturbance were analyzed and their impacts were clear. Then, these target parameters were optimized on the basis of the above results, and the shovel structure was accordingly improved to obtain better subsoiling quality and lower tillage resistance. Design and optimization of subsoiling shovels has always been one of the key technologies of subsoiling machines.

3. Anti-Drag

The energy consumption caused by subsoiling is three to five times as much as that of other planting procedures such as seeding, managing, and harvesting [68]. Decreasing tillage resistance during subsoiling is the main measure to reduce energy consumption. Several methods of decreasing resistance are available, such as vibration anti-drag technology, bionic anti-drag technology, layered subsoiling structure, shovel design with anti-drag structure, and surface coating technology of shovels.

3.1. Vibration Anti-Drag

Vibration anti-drag refers to adding an excitation source on the subsoiling machine to make subsoiling shovels constantly subject to the repeated positive and negative forces. The greatest advantage of the vibration subsoiling machine is its low traction resistance. According to the driving mode of excitation source, vibration machines can be divided into self-excited and forced-excited categories. Shovels of the forced-excited vibration subsoiler are capable of vibrating via connecting an eccentric mechanism. Sun et al. [69] adopted two eccentric discs to drive connecting rods and shovels reciprocating vibration in the vertical direction. The minimum resistance and energy consumption were obtained under the optimum combination of forward speed, vibration frequency, amplitude, angle, and speed ratio [70,71,72,73]. A typical forced-excited vibration subsoiler is shown in Figure 2. Self-excited vibrating can be obtained by applying elastic elements, such as pressure springs (Figure 3a), leaf springs (Figure 3b), and hydraulics [74,75,76] (Figure 3c). This anti-drag method not only has little impact on soil, but also protects shovels and other components [77].

3.2. Bionic Anti-Drag

The primary task of bionic anti-drag is to extract biological information, which includes the function, structure, process, or behavioral characteristics and mechanisms of the biological system. On this basis, a technology similar to the function of biological-systems was developed and applied to shovels to reduce resistance [78]. The contour line of the claw toe from house mice (Mus musculus) was extracted and found to feature an exponential function curve, and Zhang et al. [79] converted the upper contour line of the longitudinal profile of their (Mus musculus) claws into the technical parameters of the shovel’s cutting edge curve. Then, the contour curve was enlarged properly and applied to the structural design of the cutting edge of the shovel handle. The comparative field experiment between the shovel with the feature of an exponential curve and the conventional shovel showed that the tillage resistance of the bionic shovel was reduced by 8.5–39.5% compared with the traditional shovel. Li et al. [80] obtained the accurate shape and dimension of a bear claw by a three-dimensional laser scanner and established a claw model. By the discrete element simulation, they found that the overall performance of the claw was the best when the rack angle was 30°. A bionic vibratory subsoiler was designed by Zhang et al. [81], which combined vibration anti-drag with bionic anti-drag. It was reported that the draft force of the bionic vibratory subsoiler was respectively reduced by 13–18% and 8.5–39.5% compared with the 1SZ-460 lever-type subsoiler and bionic anti-drag subsoiler.
In addition to the above two methods, the layered subsoiling structure is capable of reducing tillage resistance and mainly depends on two shovels. Along the forward direction, the shovel with a small depth is in front, while the shovel with a large depth is in the back [82,83]. The shovel design with an anti-drag structure optimized the handle or tip via experiment or simulation, thereby obtaining better subsoiling quality and less tillage resistance [84,85]. The surface-coating technology aims at obtaining better soil-removal performance of shovels by changing the properties of surface material, hence decreasing tillage resistance [86].
The above mentioned anti-drag technologies can effectively reduce resistance, whereas in studies of reducing shovel resistance, less consideration is given to the thickness of the three soil layers (tillage layer, hardpan, subsoil layer) and the soil’s physical properties, as well as the soil smashing process. Apart from reducing tillage resistance, the power consumption of subsoilers and straw blocking of shovels should also be reduced. Although the forced-excited vibration subsoiler is capable of decreasing the traction, the required fuel consumption is much higher. In order to balance the traction and energy requirements and to improve the overall efficiency, better methods should be explored through further studies so as to drive the vibrator.

4. Tillage Depth Detection

Initially, the tillage depth could only be measured manually, which had great labor intensity and low detection accuracy. Additionally, these measured depth data were limited and discrete, and could therefore not reflect continuous changes including the variation of tillage depth with surface and time; consequently, it is unable to study the dynamic characteristics of depth. To this purpose, sensors, which have higher detection accuracy and provide a basis for depth adjustment of subsoiling machines, are used for measuring tillage depth. At present, there are two main kinds of sensors used in tillage depth detection: ultrasonic sensors and inclination sensors.

4.1. Tillage Depth Detection Based on Ultrasonic Sensor

The detection method of ultrasonic sensors utilizes a constant speed transmission of acoustic waves. The signal generator generates acoustic waves with a certain oscillation frequency and which travels through the air at a constant speed. The ultrasonic echo is generated when the acoustic wave encounters impurities and interfaces, and then it is received by the signal-receiving end. Therefore, the distance is obtained by calculating the formula of time interval and sound speed [87].
Tests were carried out to evaluate detection accuracy of the ultrasonic sensor on different fields by Mouazen et al. [88], and the ultrasonic sensor was installed on the bottom of the frame. Compared with the manual measurement values, it was found that the detection accuracy of the ultrasonic sensor was better in the soft sandy loam, while it was lower in the soil with cover crops. A tillage depth measurement device based on the ultrasonic sensor was designed by Li [89], and proved to behave better than the resistance-stain type measurement device in terms of measuring accuracy. Adamchuk et al. [90] developed a closed-loop automatic control system for tillage depth, and the ultrasonic sensor was applied to measure tillage depth. An online measuring device of subsoiling depth was proposed in the Chinese Academy of Agriculture Mechanization Sciences [91]. It used an ultrasonic sensor to detect the distance between the frame of the subsoiling machine and the surface, and thus the tillage depth was obtained. A tillage depth detection system was designed by Suomi et al. [50], which used an ultrasonic sensor installed in front of the frame with an inclination sensor mounted on the connection arm of the gauge wheel and the frame to measure the height and the angle; the depth was obtained by calculating the formula related to these two physical properties. The field experiment showed that the detection error of this system was within 10 mm.

4.2. Tillage Depth Detection Based on Inclination Sensor

Inclination sensors determine the position of the object according to the three-dimensional angle change, which should be attached to the objects’ surface to measure the inclination of the object from the horizontal plane [92]. When the inclination sensor is used to detect tillage depth, it is often on the hitch device or profiling mechanism to measure the angle change. Then, the tillage depth is obtained by formula calculation.
A detector, consisting of a frame, an inclination sensor, and a sliding plate which undulated with the surface, was designed by Zhao et al. [93] and used to measure tillage depth. By detecting the relative angle between the frame and the tractor, the depth was acquired through geometric modelling of the depth and angle. Li et al. [94] developed a measurement device, and the inclination sensor was on the linkage of the frame and gauge wheel. By angle measurement and calculation, the tillage depth was obtained. Results showed that the error of this measurement method was within 6%. Xie et al. [95] installed inclination sensors on the lift arm of a tractor to detect angle change from the horizontal plane. The actual tillage depth was calculated according to the inclination of the lift arm and the geometrical dimension relation of the linkage mechanism. In addition to the abovementioned detection methods based on ultrasonic sensors and inclination sensors, potentiometers and encoders, of which the detection principle is similar to that of the inclination sensor, are also used to detect tillage depth [96,97].
In existing research on the technology of tillage depth detection, ultrasonic sensors and inclination sensors are widely used because of their low cost, simple working principles, and convenient installation methods. However, there still exist some problems. The detection accuracy of ultrasonic sensors would be affected by weeds, straws, and clods, which could lead to unstable detection results. In addition, inclination sensors can be used to measure the horizontal dip angle of the rear-suspension lifting arm. Although this method avoids the negative influence of surface unevenness and other abovementioned factors on detection accuracy, other problems may appear. As there are many connecting rods between the tractor boom and the suspension unit, drivers may adjust the length of the lift rod and the upper pull rod in practice, which leads to a change in the geometric parameter. Thus, it is inconvenient to use this method due to the need to recalibrate the sensor. Besides, the method, applying inclination sensors to measure the angle change of the profiling mechanism and calculate the mathematical model to get the tillage depth, results in the mismatch between the adjustment completion point and detection point of tillage depth. This is because the profiling mechanism is generally placed behind the tillage component, which leads to the delay of profiling.

5. Tillage Depth Control

Because of the complexity and variability of the field-work environment, the tillage depth often needs to be adjusted many times to achieve stable and consistent outcomes. It is essential to develop the control technology of tillage depth to obtain precise and efficient adjustments. Currently, there are two major control modes of tillage depth: the method of unified adjustment of each row and the method of independent adjustment of a single row. The adjusting mechanism belonging to the first adjustment mode is based mainly on the attachment position of the tillage machine and its tractor. This method commonly combines the hydraulic device of three-point suspension with mechanical and electrical technology to achieve automatic control of tillage depth [98]. With regard to the method of independent adjustment of a single row, separate adjustment mechanisms, hydraulic mechanisms, or electrical mechanisms need to be designed and installed on the machinery, and the number of mechanisms is equal to the number of subsoiling shovels. This method is capable of avoiding undesired tillage depth of each subsoiling shovel.

5.1. Method of Unified Adjustment of Each Row

The method of unified adjustment of each row aims at adjusting the tillage depth of the whole machine (adjusted on the three-point suspension) or a group of tillage components of the combined land-preparation equipment. Therefore, the hydraulic suspension system with electronic control technology (EHC) is an important support for this mode. The method of controlling depth using EHC mainly involved three control methods, including force control, position control, and integrated control of the two abovementioned modes. Long-term research on the automatic control of tillage depth based on these three methods has been conducted. In order to improve control accuracy, Lee et al. [48] developed a tillage depth control system. Some sensors were used to detect inclination of the three-point suspension, pitch angle of the tractor, and distance from the transducer to the surface. The drive circuit of the electromagnetic valve was controlled by a controller to change the state of the hydraulic circuit, and thus the position of the three-point suspension was adjusted. For the electro-hydraulic suspension system composed of a cartridge valve, a suspension control scheme based on the Controller Area Network (CAN) bus was proposed by Xie et al. [99] to improve the control accuracy, which mainly included the suspension subsystem ECU and two intelligent nodes. The experiment demonstrated that the developed nodes were capable of meeting the working requirements of the suspension system. Nie et al. [100] developed a tillage depth automatic control system, which was based on the original hydraulic suspension system and applied sensors, microcomputers, and stepping motors to realize automatic control. Moreover, the reliability and stability of the system were verified by experiments.
In addition, combined tillage equipment with the function of monitoring and controlling depth was researched and developed by some agricultural machinery enterprises such as OPICO, John Deere, and CASE. The HE-VA combined land preparation machine consists of groups of subsoiling components and disc harrows, of which the tillage depth is controlled by adjusting the height of the suppress roller through the hydraulic system [101]. John Deere developed a TruSet monitoring system for the land preparation equipment. Depth detection sensors, which are mounted on the supporting wheels and frame, are capable of accurately measuring the depth of the whole machine. Additionally, the depth of each group of tillage components is adjusted via the matched AccuDpthTM hydraulic system [102]. The AFS (Advanced Farming System) tillage depth intelligent monitoring system was developed by CASE, and is capable of precisely adjusting the tillage depth of the whole machine according to different soil conditions [103]. Before operation, the prescription map containing the predetermined tillage depth information of the field is input into the system. Owing to the tractor being equipped with a GPS positioning system, when the equipment moves to the corresponding position, the tillage depth is automatically adjusted by the hydraulic system to the required tillage depth. A stroke-detection sensor is installed in the hydraulic cylinder to provide real-time access to length changes of the hydraulic cylinder, and this is the key to the precise control of tillage depth.

5.2. Method of Independent Adjustment of Single Row

The abovementioned technologies in Section 5.1 are capable of adjusting the tillage depth of the whole machine or a group of tillage components of the combined land preparation equipment. However, due to surface relief or soil resistance variation, there exists the problem of lateral instability of tillage depth of the machine with several subsoiling shovels, which leads to the inconsistency of soil conditions in the lateral distribution. Therefore, it is necessary to develop subsoilers with special subsoiling assemblies that are capable of independently adjusting tillage depth of each subsoiling shovel. The method of independent adjustment of a single row is capable of avoiding undesired tillage depth of each subsoiling shovel to improve the tillage depth stability between rows.
A universal-type device which automatically monitors and controls the tillage depth of each subsoiling shovel was developed [104]. Laser-ranging sensors were used to measure the distance between the stand and surface. Then, the corresponding signal was sent to the Programmable Logic Controller (PLC) to be analyzed and calculated, and the real-time tillage depth was recorded. Comparing the real depth with the set value, the PLC sent an execution signal to the driver circuit of the electromagnetic valve to change the solenoid valve switch, and the hydraulic cylinder was adjusted to extend or shorten. Therefore, the tillage depth, in real time, was controlled to be consistent. Wang et al. [105] designed an electric-hydraulic control system which was capable of adjusting the tillage depth of subsoiling assemblies in a timely manner (Figure 4a). Two inclination sensors were used to detect the dip angle in the horizontal direction, and were mounted horizontally on the subsoiler frame and inclined frame of the suppress roller, respectively. Through internal algorithm, the tillage depth was calculated. The hydraulic cylinder performed the action, elongating or shortening to obtain desired tillage depth. Moreover, the performance of the system was evaluated in the aspect of the tillage depth stability between rows and within rows. Wu [106] developed a subsoiling machine to automatically monitor and control tillage depth based on ultrasonic sensors and hydraulic drivers. It was capable of independently monitoring and controlling the depth of each subsoiling shovel.
In conclusion, the control method of unified adjustment of each row adopts integrated adjustment and position adjustment combined with force adjustment. This mode not only ensures the tillage depth stability to a certain extent, but also takes the influence of tillage resistance into account. The control precision of tillage depth by this mode meets the operation requirements. However, relevant parameters in the proportional fuzzy control are difficult to determine, and the control process is more complicated. This control mode is suitable for the operations in flat fields. Furthermore, the single-row tillage depth cannot be independently adjusted according to undulation of local surfaces. By comparison, for the method of independent adjustment of a single row, the designed mechanism used to adjust depth has strong applicability. By adjusting the connecting parts of the control device, the adjustment mechanism can be installed on the different tillage machines. In addition, the main program of the automatic control system belonging to the separate adjustment mechanism is relatively simple. Moreover, tillage depth of subsoiling assemblies can be independently adjusted. Therefore, this control mode is excels at obtaining consistent depths of each subsoiling shovel.

6. Soil Mechanical Interaction

The interaction mechanism analysis of subsoiling shovels and soil is the key to the study of the shovel force and the effect of shovels on the dynamic changes of soil disturbance [107]. Wheeler [108] developed a mechanical model and studied the influence of speed on tillage resistance. Manuwa [109] set up models for the resistance prediction of different shovels and analyzed the effect of loosening depth on draft force. Based on the mechanical principle of two-side wedge and three-side wedge in soil, Ma and Zhou [110,111] studied the straight-legged shank and the circular shank and built mathematical models. In recent years, the Discrete Element Method (DEM) has been widely used to study the tillage mechanism [112,113]. Shmulevich [114] used PFC2D discrete-element software to research the interaction between the wide shovel and soil, and four types of shanks were chosen for simulation. Results showed that soil accumulation in front of shovels increased horizontal resistance during movement, and the soil flow below the tip influenced the vertical force applied to the shovel. A soil-tool-residue interaction model was developed by Zeng et al. [115] using the DEM and was used to investigate and compare the effects of forward speed on soil displacement, residue displacement, and residue cover reduction resulting from four types of shovels (Figure 5). Considering the normal tension generated among elements, Momozu et al. [116] used coefficients to modify the traditional discrete element model, and then to represent the adhesion generated by moisture among soil particles. Tamas et al. [117] developed a discrete element model to analyze the effects of the sweep rack angle and speed on soil loosening and porosity. Results showed that the comparison between the measured and simulated draught of subsoiling shovels with a 30° sweep rack angle behaved as a good match. In the selected speed interval of 0.5–2.4 m s−1, the error range was 4–15%. A working model of subsoiling was established by Hang et al. [118], applying the DEM. Through simulation based on this model and an indoor soil-bin test, they compared and analyzed the micro-movement and macro-disturbance behavior of subsoil at different locations under the combined effect of two shovels (Figure 6).
In the subsoiling process, the soil is sheared, extruded, and uplifted by the subsoiling shovel, which provides the reacting force from the soil. Although the soil-mechanical interaction is a complex process, the disruption and deformation of soil under the force of subsoiling components still have some regularity. According to the soil structure, soil mechanics, as well as the failure and deformation regularity, the virtual soil model can be built in the simulation software, which is capable of replacing actual soil within a certain range of error. Furthermore, the simulation test of subsoiling machines and soil models can be carried out to study machines’ performance and optimize structural parameters, which is conducive to the shortening of the development cycle of subsoiling machines, improving research efficiency, and saving time and resources. Additionally, the soil smashing mechanism during subsoiling and interaction between the shovel and soil in the process of adjusting tillage depth can be revealed.

7. Summaries and Recommendations

A large amount of research on subsoiling shovel design, anti-drag, tillage depth detection and control, and soil mechanical interaction have been done to improve subsoiling quality and reduce energy consumption. However, most soil models established in simulation software lacking plant root or straw are inconsistent with the field soil condition. There is insufficient information regarding the broken soil characteristics, stubble-breaking process analysis, and comprehensive effects of subsoiling. Further research should focus on the interaction mechanisms between soil, subsoiling shovels, and plant root or straw. The combination of tillage depth detection and control can effectively improve tillage depth stability, whereas the influence of different soil conditions on the control system is unclear. It is necessary to develop monitoring and control systems of tillage depth with good applicability. Apart from using the abovementioned methods to save energy, the performance of subsoiling components should be considered with more attention. As shovels directly make contact with soil, they wear severely. For this reason, studies on the wear resistance of subsoiling components should be conducted. Therefore, to develop high-performance subsoiling machines with good subsoiling quality and low energy consumption, this article proposes the following four recommendations.
(1)
It is very important to improve simulation accuracy by optimizing the soil model in computer simulation. The discrete element model of a root-soil composite model with straw should be established, and the key parameters of soil models need to be calibrated by simulation and laboratory tests. Furthermore, the accuracy and reliability of soil models should be verified by subsoiling simulation and field experiments.
(2)
Comprehensive methods combining computer simulation, field experiments, and theoretical analysis need be adopted to strengthen research on subsoiling mechanism and comprehensive effect. Thus, the interaction mechanism between root-soil composite models, subsoiling shovels, and straw, as well as the interactive relationship between energy consumption and yield, increase the benefits from subsoiling and can be clarified from macroscopic and microscopic perspectives.
(3)
New tillage depth monitoring and control systems should be developed via mechanism innovation, algorithm optimization, and software development, which has the advantages of accurate detection, fast adjustment, convenient use, and suitability for different soil conditions. Moreover, by the combination with GPS positioning technology and data sharing technology, the tillage depth will be correlated to some information, such as nutrient, moisture, and yield, to provide guidance for the future management of farmland.
(4)
Improving the wear-resisting properties of subsoiling shovels is a necessary method to save energy. According to Zhao [119], more than 80% of subsoiling shovels’ failure is caused by wear, which is the main cause of low efficiency, poor quality, and high operating costs. Therefore, some wear-resistance improvements of subsoiling shovels should also be taken into account, such as applying advanced processing technologies, adopting wear resistant materials, and designing shovels with wear-resistant geometry of the biological surface.

Author Contributions

Conceptualization, S.L. and J.H.; writing—original draft preparation, S.L.; writing—review and editing, H.L. (Hongwen Li), Q.W., C.L., W.L., P.L., Z.Z., H.L. (Hui Li); funding acquisition, H.L. (Hongwen Li), J.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the China Agriculture Research System of MOF and MARA (Grant No.CARS-03); Innovative Research Team in University of China (Grant No. IRT13039).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

This research was supported by The 2115 Talent Development Program of China Agricultural University.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zulfiqar, U.; Hussain, S.; Ishfaq, M.; Ali, N.; Ahmad, M.; Ihsan, F.; Sheteiwy, M.S.; Rauf, A.; Hano, C.; EI-Esawi, M.A. Manganese Supply Improves Bread Wheat Productivity, Economic Returns and Grain Biofortification under Conventional and No Tillage Systems. Agriculture 2021, 11, 142. [Google Scholar] [CrossRef]
  2. Wolkowski, R.; Lowery, B. Soil compaction: Causes, concerns and cures. Coop. Ext. Publ. 2008, 5, 1–8. [Google Scholar]
  3. Poehlitz, J.; Ruecknagel, J.; Schlueter, S.; Vogel, H.J.; Christen, O. Computed tomography as an extension of classical methods in the analysis of soil compaction, exemplified on samples from two tillage treatments and at two moisture tensions. Geoderma 2019, 346, 52–62. [Google Scholar] [CrossRef]
  4. Ordonez-Morales, K.D.; Cadena-Zapata, M.; Zermeno-Gonzalez, A.; Campos-Magana, S. Effect of Tillage Systems on Physical Properties of a Clay Loam Soil under Oats. Agriculture 2019, 9, 62. [Google Scholar] [CrossRef] [Green Version]
  5. European Commission. The State of Soil in Europe-A Contribution of the JRC to the European Environment Agency’s Environment State and Outlook Report-SOER 2010; Publications Office of the European Union: Luxembourg, 2012. [Google Scholar]
  6. Artemyeva, Z.S.; Kogut, B.M. The Effect of Tillage on Organic Carbon Stabilization in Microaggregates in Different Climatic Zones of European Russia. Agriculture 2016, 6, 63. [Google Scholar] [CrossRef] [Green Version]
  7. Hargreaves, P.R.; Baker, K.L.; Graceson, A.; Bonnett, S.; Ball, B.C.; Cloy, J.M. Soil compaction effects on grassland silage yields and soil structure under different levels of compaction over three years. Eur. J. Agron. 2019, 109, 1–9. [Google Scholar] [CrossRef]
  8. Nebo, G.L.; Manyevere, A.; Araya, T.; Tol, J.V. Short-Term Impact of Conservation Agriculture on Soil Strength and Saturated Hydraulic Conductivity in the South African Semiarid Areas. Agriculture 2020, 10, 414. [Google Scholar] [CrossRef]
  9. Moradi, E.; Rodrigo-Comino, J.; Terol, E.; Mora-Navarro, G.; Silva, A.M.D.; Daliakopoulos, I.N.; Khosravi, H.; Fernandez, M.P.; Cerda, A. Quantifying Soil Compaction in Persimmon Orchards Using ISUM (Improved Stock Unearthing Method) and Core Sampling Methods. Agriculture 2020, 10, 266. [Google Scholar] [CrossRef]
  10. Somerville, P.D.; May, P.B.; Livesley, S.J. Effects of deep tillage and municipal green waste compost amendments on soil properties and tree growth in compacted urban soils. J. Environ. Manag. 2018, 227, 365–374. [Google Scholar] [CrossRef]
  11. Kristoffersen, A.O.; Riley, H. Effects of soil compaction and moisture regime on the root and shoot growth and phosphorus uptake of barley plants growing on soils with varying phosphorus status. Nutr. Cycl. Agorecosyst. 2005, 72, 135–146. [Google Scholar] [CrossRef]
  12. Wang, M.J.; He, D.; Shen, F.; Huang, J.L.; Zhang, R.T.; Liu, W.B.; Zhu, M.J.; Zhou, L.; Wang, L.H.; Zhou, Q. Effects of soil compaction on plant growth, nutrient absorption, and root respiration in soybean seedlings. Environ. Sci. Pollut. Res. 2019, 26, 22835–22845. [Google Scholar] [CrossRef] [PubMed]
  13. Haruna, S.I.; Nkongolo, N.V. Influence of Cover Crop, Tillage, and Crop Rotation Management on Soil Nutrients. Agriculture 2020, 10, 225. [Google Scholar] [CrossRef]
  14. Kwiatkowski, C.A.; Harasim, E.; Feledyn-Szewczyk, B.; Antonkiewicz, J. Enzymatic Activity of Loess Soil in Organic and Conventional Farming Systems. Agriculture 2020, 10, 135. [Google Scholar] [CrossRef] [Green Version]
  15. Wozniak, A. Chemical Properties and Enzyme Activity of Soil as Affected by Tillage System and Previous Crop. Agriculture 2019, 9, 262. [Google Scholar] [CrossRef] [Green Version]
  16. Singh, K.; Choudhary, O.P.; Singh, H.P.; Singh, A.; Mishra, S.K. Sub-soiling improves productivity and economic returns of cotton-wheat cropping system. Soil Tillage Res. 2019, 189, 131–139. [Google Scholar] [CrossRef]
  17. Wang, S.B.; Guo, L.L.; Zhou, P.C.; Wang, X.J.; Shen, Y.; Han, H.F.; Ning, T.Y.; Han, K. Effect of subsoiling depth on soil physical properties and summer maize (Zea mays L.) yield. Plant Soil Environ. 2019, 65, 131–137. [Google Scholar] [CrossRef] [Green Version]
  18. Schneider, F.; Don, A.; Hennings, I.; Schmittmann, O.; Seidel, S.J. The effect of deep tillage on crop yield-What do we really know? Soil Tillage Res. 2017, 174, 193–204. [Google Scholar] [CrossRef]
  19. Feng, X.M.; Hao, Y.B.; Latifmanesh, H.; Lal, R.; Cao, T.H.; Guo, J.R.; Deng, A.X.; Song, Z.W.; Zhang, W.J. Effects of subsoiling tillage on soil properties, maize root distribution, and grain yield on mollisols of northeastern China. Soil Tillage Conserv. Manag. 2018, 110, 1607–1615. [Google Scholar] [CrossRef]
  20. Zhang, R.F.; Yang, H.S.; Gao, J.L.; Zhang, Y.Q.; Wang, Z.G.; Fan, X.Y.; Bi, W.B. Effect of subsoiling on root morphological and physiological characteristics of spring maize. Trans. CSAE 2015, 31, 78–84. [Google Scholar] [CrossRef]
  21. Carr, P.M. Guest Editorial: Conservation Tillage for Organic Farming. Agriculture 2017, 7, 19. [Google Scholar] [CrossRef] [Green Version]
  22. Wichelns, D. Achieving Water and Food Security in 2050: Outlook, Policies, and Investments. Agriculture 2015, 5, 188–220. [Google Scholar] [CrossRef] [Green Version]
  23. Mullan, D. Managing Soil Erosion in Northern Ireland: A Review of Past and Present Approaches. Agriculture 2013, 3, 684–699. [Google Scholar] [CrossRef] [Green Version]
  24. Pimentel, D.; Burgess, M. Soil Erosion Threatens Food Production. Agriculture 2013, 3, 443–463. [Google Scholar] [CrossRef] [Green Version]
  25. 2016–2022 China’s Subsoiling and Land Preparation Industry Special Investigation and 13th Five-Year Investment Prospect Forecast Report. Available online: http://baogao.chinabaogao.com/xumuye/245071245071.html (accessed on 6 August 2020).
  26. Department of Farm Mechanization of Ministry of agriculture and rural affairs of the People’s Republic of China. National Agricultural Mechanization Statistics Annual Report; Department of Farm Mechanization of MOA: Beijing, China, 2018; p. 14.
  27. Ministry of Agriculture and Rural Affairs of the People’s Republic of China. National Agricultural Machinery Subsoiling and Land Preparation Operation Implementation Plan (2016–2020). Available online: http://www.moa.gov.cn/nybgb/2016/disanqi/201711/t20171127_5920218.htm (accessed on 8 August 2020).
  28. State Council of the People’s Republic of China. Government Work Report. 2015. Available online: http://www.gov.cn/guowuyuan/2015-03/16/content_2835101.htm (accessed on 8 August 2020).
  29. State Council of the People’s Republic of China. Government Work Report. 2014. Available online: http://www.gov.cn/guowuyuan/2014-03/14/content_2638989.htm (accessed on 8 August 2020).
  30. State Council of the People’s Republic of China. Central Document No.1. 2014. Available online: https://wenku.baidu.com/view/7384313ceff9aef8941e06e8.html (accessed on 8 August 2020).
  31. Ministry of Agriculture of the People’s Republic of China. National Agricultural Machinery Subsoiling and Land Preparation Operation Implementation Plan (2011–2015). Available online: http://www.moa.gov.cn/nybgb/2011/deq/201805/t20180518_6142547.htm (accessed on 8 August 2020).
  32. State Council of the People’s Republic of China. Opinions of the State Council on Promoting Sound and Rapid Development of Agricultural Mechanization and Agricultural Machinery Industry. 2010. Available online: http://www.gov.cn/zhengce/content/2010-07/09/content_3009.htm (accessed on 8 August 2020).
  33. State Council of the People’s Republic of China. Central Document No.1. 2010. Available online: http://finance.sina.com.cn/g/20100131/17047342371.shtml (accessed on 8 August 2020).
  34. Ministry of Finance of the People’s Republic of China. Interim Measures for the Administration of the Centralized use of the Newly Increased Central Funds for Comprehensive Agricultural Subsidies for the Building of Basic Grain Capacity. 2009. Available online: http://www.chinalawedu.com/falvfagui/fg22016/514036.shtml (accessed on 8 August 2020).
  35. State Council of the People’s Republic of China. Central Document No.1. 2009. Available online: http://www.jingbian.gov.cn/xiwzx/yw/319.htm (accessed on 8 August 2020).
  36. He, J.; Li, H.W.; Chen, H.T.; Lu, C.Y.; Wang, Q.J. Research progress of conservation tillage technology and machine. Trans. Chin. Soc. Agric. Mach. 2018, 49, 1–18. [Google Scholar] [CrossRef]
  37. Li, B.F. Agricultural Mechanics; China Agriculture Press: Beijing, China, 2003; pp. 35–37. [Google Scholar]
  38. Arable Land (Hectares per Person). Available online: https://data.worldbank.org/indicator/AG.LND.ARBL.HA.PC (accessed on 11 August 2020).
  39. Maschio DIABLO Subsoiling Combined Machine. Available online: http://www.maschio.com/catalog/product/diablo/it_IT (accessed on 3 September 2020).
  40. John Deere 2730 Subsoiling Combined Machine. Available online: https://www.deere.com/en/tillage/2730-combination-ripper/ (accessed on 3 September 2020).
  41. Agrowplow AP31 Subsoiling Plough. Available online: http://www.agrowplow.com.au/agrowplow-ap31-plough (accessed on 3 September 2020).
  42. Salfordgroup 9200 Subsoiling Plough. Available online: https://salfordgroup.com/9200-in-line-ripper (accessed on 5 September 2020).
  43. Shandongdahua 1S-300C Omni-Directional Subsoiler. Available online: http://www.dhbl.net/product/73.html (accessed on 5 September 2020).
  44. Shandongaolong 1SQ-330 Omni-Directional Subsoiler. Available online: http://www.sdaljx.com/zhsh.asp?id=520 (accessed on 5 September 2020).
  45. Zhang, J.B. Bionic Drag Reduction and Wear-Resistant Theory and Techniques of Subsoiler. Ph.D. Thesis, Jilin University, Jilin, China, 2014. [Google Scholar]
  46. Khalilian, A.; Han, Y.J.; Marshall, M.W.; Gorucu, S.; Abbaspour, G.Y.; Kirk, K.R. Evaluation of the clemson instrumented subsoiler shank in coastal plain soils. Comput. Electron. Agric. 2014, 109, 46–51. [Google Scholar] [CrossRef]
  47. Liu, J.A.; Wang, X.Y.; Li, H.W.; He, J.; Wang, Q.J.; Li, W. Optimization of structural parameters of subsoiler based on soil disturbance and traction resistance. Trans. Chin. Soc. Agric. Mach. 2017, 48, 60–67. [Google Scholar] [CrossRef]
  48. Lee, J.; Yamazaki, M.; Oidab, A.; Nakashimac, H.; Shimizub, H. Electro-hydraulic tillage depth control system for rotary implements mounted on agricultural tractor Design and response experiments of control system. J. Terramech. 1998, 35, 229–238. [Google Scholar] [CrossRef]
  49. Garrido, M.; Conceição, L.A.; Baguena, E.M.; Valero, C.; Barreiro, P. Evaluating the need for an active depth-control system for direct seeding in Portugal. In Proceedings of the 8th European Conference Precision Agriculture, Prauge, Czech Republic, 11–14 July 2011; Wageningen Academic Publishers: Wageningen, The Netherlands. [Google Scholar]
  50. Suomi, P.; Oksanen, T. Automatic working depth control for seed drill using ISO 11783 remote control messages. Comput. Electron. Agric. 2015, 116, 30–35. [Google Scholar] [CrossRef]
  51. Wang, S.L.; Liang, H. Development and application of intelligent supervision system for agricultural machinery subsoiling. Hebei Agric. Mach. 2016, 3, 10–11. [Google Scholar]
  52. Pereira, D.P.; Fiedler, N.C.; Juliao, S.L. Efficiency of subsoiling depth according to the slope of the land. Cerne 2012, 18, 607–612. [Google Scholar] [CrossRef]
  53. Tian, S.Z.; Wang, Y.; Zhang, F.Y.; Bian, W.F.; Dong, L.; Luo, J.F.; Guo, H.H. Residue returning with subsoiling replacing rotary tillage improving aggregate and associated carbon. Trans. CSAE 2017, 33, 133–140. [Google Scholar] [CrossRef]
  54. Kayad, A.; Paraforos, D.S.; Marinello, F.; Fountas, S. Latest Advances in Sensor Applications in Agriculture. Agriculture 2020, 10, 362. [Google Scholar] [CrossRef]
  55. Yu, Y.C.; Liu, W.Y.; Zhao, Y.C.; Sun, J.Q. Force mathematical model and examination analysis of the column subsoiler. Trans. CSAE 2007, 23, 109–113. [Google Scholar] [CrossRef]
  56. Zhang, Q.; Zhang, L.; Yu, H.Y.; Xiao, Y.K. Finite element analysis and experiment of soil resistance of multiplex-modality subsoiler. Trans. Chin. Soc. Agric.Mach. 2012, 43, 61–65. [Google Scholar] [CrossRef]
  57. Lemken 1S-225C Subsoiler. Available online: https://lemken.com/en/soil-cultivation/stubble-cultivation/subsoiler/labrador/ (accessed on 15 September 2020).
  58. Hedongxiongfeng 1S-150A Subsoiler. Available online: http://www.hedongxiongfeng.cn/pd.jsp?id=52#_pp=103_366 (accessed on 15 September 2020).
  59. Maschio PINOCCHIO200 Subsoiler. Available online: http://www.maschio.com/catalog/category/dissodatori-di-profondita/zh_cmn (accessed on 15 September 2020).
  60. Zhongnongboyuan 1S-200 Subsoiler. Available online: http://www.boyomac.com/product/17.html (accessed on 14 May 2021).
  61. Woye 1SQ-340 Subsoiler. Available online: https://www.nongjitong.com/product/3072.html (accessed on 15 September 2020).
  62. DALBO Ratoon Subsoiler. Available online: https://www.cnmasike.com/agriculture/used-other-agricultural-machines/dal-bo-ratoon/be6ohtgr.html (accessed on 15 September 2020).
  63. Shandongdahua 1S-250 Subsoiler. Available online: https://www.dhbl.net/product/53.html (accessed on 15 September 2020).
  64. Kostencki, P.; Stawicki, T.; Bialobrzeska, B. Durability and wear geometry of subsoiler shanks provided with sintered carbide plates. Tribol. Int. 2016, 104, 19–35. [Google Scholar] [CrossRef]
  65. Chen, K. Study on Structural Optimization of Extroverted arc Subsoiler. Master’s Thesis, Jilin Agriculture University, Jilin, China, 2017. [Google Scholar]
  66. Zhao, S.H.; Wang, J.Y.; Chen, J.Z.; Yang, Y.Q.; Tan, H.W. Design and experiment of fitting curve subsoiler of conservation tillage. Trans. Chin. Soc. Agric. Mach. 2018, 49, 82–92. [Google Scholar] [CrossRef]
  67. Wang, X.Z.; Yue, B.; Gao, X.J.; Zheng, Z.Q.; Zhu, R.X.; Huang, Y.X. Discrete element simulations and experiments of disturbance behavior as affected by mounting height of subsoiler’s wing. Trans. Chin. Soc. Agric. Mach. 2018, 49, 124–136. [Google Scholar] [CrossRef]
  68. Peng, Z.M.; Ding, Y.; Zhu, J.P.; Yuan, D. Technical analysis and research of detection in energy-saving emission reduction to farming machinery. Chin. Agric. Mech. 2009, 225, 69–75. [Google Scholar] [CrossRef]
  69. Sun, Y.P.; Dong, X.Q.; Song, J.N.; Liu, C.L.; Wang, J.C.; Zhang, C. Parameter optimization of vibration subsoiler test bed for reducing resistance and vibration. Trans. CSAE 2016, 32, 43–49. [Google Scholar] [CrossRef]
  70. Li, X.; Zhang, D.X.; Wang, W.X.; Cui, T.; Tang, M.J. Performance parameter optimization and experiment of forced-vibration subsoiler. Trans. CSAE 2015, 31, 17–24. [Google Scholar] [CrossRef]
  71. Li, X.; Fu, J.F.; Zhang, D.X.; Cui, T.; Zhang, R. Experiment analysis on traction resistance of vibration subsoiler. Trans. CSAE 2012, 28, 32–36. [Google Scholar] [CrossRef]
  72. Shahgoli, G.; Fielke, J.; Desbiolles, J.; Saunders, C. Optimising oscillation frequence in oscillation tillage. Soil Tillage Res. 2009, 106, 202–210. [Google Scholar] [CrossRef]
  73. Linde, J.V.D. Discrete Element Modeling of a Vibratory Subsoiler. Ph.D. Thesis, Stellenbosch University, Stellenbosch, South Africa, 2007. [Google Scholar]
  74. Zhang, J.C.; Yan, X.L.; Lin, Z.K.; Zhu, R.X. Design and experiment of self-exciting vibration deep-loosening and sub-soiling machine. Trans. Chin. Soc. Agric. Mach. 2016, 47, 44–49. [Google Scholar] [CrossRef]
  75. Ma, X.; Qiu, L.C.; Milecki, Z. Experimental study on the dynamic characteristics of spring-tooth vibration sub-soiling shovel. J. Mech. Eng. Res. Dev. 2016, 39, 127–133. [Google Scholar] [CrossRef]
  76. Soeharsono, S.; Radite, P.A.M.; Tineke, S.; Asep, H.; Wawan. Penurunan Draft Dan Energy Pembajakan Pada Model Subsoiler Getar Dengan Menggunakan Metode Self-Excited Vibration. Ph.D. Thesis, Bogor Agriculture University, Bogor, Indonesia, 2012. [Google Scholar]
  77. Qiu, L.C.; Li, B.F. Experimental study on the self-excited vibration subsoiler for reducing draft force. Trans. CSAE 2000, 16, 72–76. [Google Scholar] [CrossRef]
  78. Tong, J.; Sun, J.Y.; Chen, D.H.; Zhang, S.J. Geometrical features and wettability of dung beetles and potential biomimetic engineering applications in tillage implements. Soil Tillage Res. 2005, 80, 1–12. [Google Scholar] [CrossRef]
  79. Zhang, J.B.; Tong, J.; Ma, Y.H. Design and experiment of bionic anti-drag subsoiler. Trans. Chin. Soc. Agric. Mach. 2014, 45, 141–145. [Google Scholar] [CrossRef]
  80. Li, B.; Chen, Y.; Chen, J. Modeling of soil-claw interaction using the discrete element method (DEM). Soil Tillage Res. 2016, 158, 177–185. [Google Scholar] [CrossRef]
  81. Zhang, X.R.; Wang, C.; Chen, Z.X.; Zeng, Z.W. Design and experiment of a bionic vibratory subsoiler for banana fields in southern China. Int. J. Agric. Biol. Eng. 2016, 9, 75–83. [Google Scholar] [CrossRef]
  82. Wang, T.H.; Zhang, W.A.; Wang, L.B.; Yu, M.; Song, D.Q.; Yu, L. Stress analysis and subsoiling quality research of layered deep loosening shovel. Farm Mach. 2012, 32, 94–96. [Google Scholar]
  83. Kasisira, L.L.; Plessis, H.L.M.D. Energy optimization for subsoilers in tandem in a sandy clay loam soil. Soil Tillage Res. 2006, 86, 185–198. [Google Scholar] [CrossRef]
  84. Wang, H.L.; Zhang, W. Optimization design of the subsoiling shovel structural parameters based on Pro/E. J. Agric. Mech. Res. 2011, 1, 141. [Google Scholar] [CrossRef]
  85. Kichler, C.M.; Fulton, J.P.; Raper, R.L.; Mcdonald, T.P.; Zech, W.C. Effects of transmission gear selection on tractor performance and fuel costs during deep tillage operations. Soil Tillage Res. 2011, 113, 105–111. [Google Scholar] [CrossRef] [Green Version]
  86. Zhu, F.W. Analysis of the Morphology of Scarabaeoidea and Bionic Design of Subsoiling Components. Ph.D. Thesis, Jilin University, Jilin, China, 2005. [Google Scholar]
  87. Yang, Z.J.; Zheng, K.; Geng, C.J.; Xia, J.Q. Design of multi-channel ultrasonic wave sensor ranging system based on RS--485 bus. Transd. Microsyst. Technol. 2018, 37, 79–82. [Google Scholar] [CrossRef]
  88. Mouazen, A.M.; Anthonis, J.; Saeys, W.; Ramon, H. An automatic depth control system for online measurement of spatial variation in soil compaction 1. Sensor design for measurement of frame height variation from soil surface. Biosyst. Eng. 2004, 89, 139–150. [Google Scholar] [CrossRef]
  89. Li, Z.X. Research and design of operating depth measurement apparatus for farm implement. Trans. Chin. Soc. Agric. Mach. 2000, 31, 8–91. [Google Scholar] [CrossRef]
  90. Adamchuk, V.I.; Hummel, J.W.; Morgan, M.T.; Upadhyaya, S.K. On-the-go soil sensors for precision agriculture. Comput. Electron. Agric. 2004, 44, 71–91. [Google Scholar] [CrossRef] [Green Version]
  91. Yuan, Y.W.; Fang, X.F.; Yang, B.N.; Liang, X.X.; Dong, X.; Zhou, L.M.; Zhang, J.N. A Suspended Subsoiler and Its Online Detection Device and Method. CHN CN104977586-A, 14 October 2015. [Google Scholar]
  92. Zheng, Y.H. Study on Sensing Mechanism of Gas Pendulum Tilt Sensor and the Key Factors of Affecting its Property. Ph.D. Thesis, Beijing University of Post and Telecommunications, Beijing, China, 2008. [Google Scholar]
  93. Zhao, J.; He, P.X.; Li, Q.D.; Jiang, M.; Kang, J.; Liu, H.B.; Zhu, K.X. Design of depth display system for micro-tiller. J. Agric. Mech. Res. 2016, 10, 83–86. [Google Scholar] [CrossRef]
  94. Li, Q.L.; Sun, Y.J.; Sun, Y.T.; Shen, J.X.; Chen, G.; Dou, Q.Q. Development of DSP-based joint operations subsoiling machine monitoring system. J. Agric. Mech. Res. 2016, 11, 118–122. [Google Scholar] [CrossRef]
  95. Xie, B.; Li, H.; Zhu, Z.X.; Mao, E.R. Measuring tillage depth for tractor implement automatic using inclinometer. Trans. CSAE 2013, 39, 15–21. [Google Scholar] [CrossRef]
  96. Ayiding, K.; Wu, M.T.; He, P.X.; Liu, X.R.; Sun, B. The control system of automatic adjust for plowing depth. J. Agric. Mech. Res. 2013, 3, 160–163. [Google Scholar] [CrossRef]
  97. Jia, H.L.; Guo, M.Z.; Yu, H.B.; Li, Y.; Feng, X.Z.; Zhao, J.L.; Qi, J.T. An adaptable tillage depth monitoring system for tillage machine. Biosyst. Eng. 2016, 151, 187–199. [Google Scholar] [CrossRef]
  98. Shang, G.G.; Peng, H.J.; Xia, Y. Study on auto-control method and simulation for tractor depth based on fuzzy control. Res. Agric. Mod. 2014, 35, 825–829. [Google Scholar] [CrossRef]
  99. Xie, B.; Mao, E.R. Development of CAN intelligent nodes of tractor electronic hydraulic hitch system. Trans. Chin. Soc. Agric. Mach. 2006, 37, 1–3. [Google Scholar] [CrossRef]
  100. Nie, Y.H.; Kang, J.; He, J.H.; He, P.X.; Li, Q.R. Deep tillage automatically adjust the design and test of control system. J. Agric. Mech. Res. 2015, 2, 143–145. [Google Scholar] [CrossRef]
  101. HE-VA Combined Land Preparation Equipment Equipped with Hydraulic System. Available online: https://www.he-va.co.uk/he-va-products/cultivation/combi-disc/ (accessed on 16 December 2020).
  102. John Deere 2633VT with TruSet™ Tillage Technology. Available online: https://www.deere.com/en/tillage/truset/ (accessed on 16 December 2020).
  103. CASE IH Tillage Tools Equipped with Advanced Farming System. Available online: https://www.caseih.com/northamerica/en-us/products/advanced-farming-systems/field-solutions/afs-soil-command (accessed on 16 December 2020).
  104. He, J.; Wu, Y.H.; Li, H.W.; Wang, Q.J.; Lu, C.Y.; Zhang, Z.Q.; Zheng, K.; Liu, W.Z.; Zhao, H.B.; Ju, J.W.; et al. A Device, a Universal Type, Automatically Monitoring and Controlling Tillage Depth of Each Subsoiler Shank. CHN CN107980261-A, 4 May 2018. [Google Scholar]
  105. Wang, Y.X.; Jing, H.R.; Zhang, D.X.; Cui, T.; Zhong, X.J.; Yang, L. Development and performance evaluation of an electric-hydraulic control system for subsoiler with flexible tines. Comput. Electron. Agric. 2018, 151, 249–257. [Google Scholar] [CrossRef]
  106. Wu, Y.H. The Design of Depth Automatic Monitoring Control Subsoiler Based on Ultrasonic Sensor and Hydraulic Drive. Master’s Thesis, China Agriculture University, Beijing, China, 2018. [Google Scholar]
  107. Chen, K.; Hu, X.L.; Zhao, X.Z.; Yuan, H.Y. Research status and prospects of subsoilier at home and abroad. Agric. Technol. 2010, 30, 30–34. [Google Scholar]
  108. Wheeler, P.N.; Godwin, R.J. Soil dynamics of single and multiple tines at speeds up to 20 km/h. J. Agric. Eng. Res. 1996, 63, 243–250. [Google Scholar] [CrossRef] [Green Version]
  109. Manuwa, S.I. Performance evaluation of tillage tines operating under different depths in a sandy clay loam soil. Soil Tillage Res. 2009, 103, 399–405. [Google Scholar] [CrossRef]
  110. Ma, S.F. Force Analysis and Computer Simulation of the Subsoiler in Working State. Master’s Thesis, Henan Agriculture University, Henan, China, 2004. [Google Scholar]
  111. Zhou, Y.Q. Force Mathematic Model and Computer Simulation of the Subsoiler. Master’s Thesis, Henan Agriculture University, Henan, China, 2006. [Google Scholar]
  112. Mak, J.; Chen, Y.; Sadek, M.A. Determining parameters of a discrete element model for soil-tool interaction. Soil Tillage Res. 2012, 118, 117–122. [Google Scholar] [CrossRef]
  113. Chen, Y.; Munkholm, L.J.; Nyord, T. A discrete element model for soil-sweep interaction in three different soils. Soil Tillage Res. 2013, 126, 34–41. [Google Scholar] [CrossRef]
  114. Shmulevich, I.; Asaf, Z.; Rubinstein, D. Interaction between soil and a wide cutting blade using the discrete element method. Soil Tillage Res. 2007, 97, 37–50. [Google Scholar] [CrossRef]
  115. Zeng, Z.W.; Ma, X.; Chen, Y.; Qi, L. Modelling residue incorporation of selected chisel ploughing tools using the discrete element method (DEM). Soil Tillage Res. 2020, 197, 1–14. [Google Scholar] [CrossRef]
  116. Momozu, M.; Oida, A.; Yamazaki, M.; Koolen, A.J. Simulation of a soil loosening process by means of the modified distinct element method. J. Terramechanics. 2003, 39, 207–220. [Google Scholar] [CrossRef]
  117. Tamas, K.; Jori, I.J.; Mouazen, A.M. Modelling soil–sweep interaction with discrete element method. Soil Tillage Res. 2013, 134, 223–231. [Google Scholar] [CrossRef] [Green Version]
  118. Hang, C.G.; Huang, Y.X.; Zhu, R.X. Analysis of the movement behaviour of soil between subsoilers based on the discrete element method. J. Terramech. 2017, 74, 35–43. [Google Scholar] [CrossRef]
  119. Zhao, J.G.; Li, J.C.; Wang, A.; Ma, L.P.; Hao, J.J.; Zhang, J.G.; Ma, Y.J. Improvement of wear resistance of deep-shovel tip with Fe-based alloycoating by flame spray welding residual temperature quenching. Trans. CSAE 2018, 34, 65–71. [Google Scholar] [CrossRef]
Figure 1. (a) Chisel shovels of the Hedongxiongfeng 1S-150A subsoiler (http://www.hedongxiongfeng.cn/pd.jsp?id=52#_pp=103_366 (accessed on 15 September 2020)); (b) Winged shovels of the Zhongnongboyuan 1S-200 subsoiler (http://www.boyomac.com/product/17.html (accessed on 14 May 2021)); (c) V shaped shovels of the Woye 1SQ-340 subsoiler (https://www.nongjitong.com/product/3072.html (accessed on 15 September 2020)) (d) Side-bended shovels of the DaHua BaoLai 1S-250 subsoiler (https://www.dhbl.net/product/53.html (accessed on 15 September 2020)).
Figure 1. (a) Chisel shovels of the Hedongxiongfeng 1S-150A subsoiler (http://www.hedongxiongfeng.cn/pd.jsp?id=52#_pp=103_366 (accessed on 15 September 2020)); (b) Winged shovels of the Zhongnongboyuan 1S-200 subsoiler (http://www.boyomac.com/product/17.html (accessed on 14 May 2021)); (c) V shaped shovels of the Woye 1SQ-340 subsoiler (https://www.nongjitong.com/product/3072.html (accessed on 15 September 2020)) (d) Side-bended shovels of the DaHua BaoLai 1S-250 subsoiler (https://www.dhbl.net/product/53.html (accessed on 15 September 2020)).
Agriculture 11 00575 g001
Figure 2. DaHua BaoLai 1SZ-180 forced-excited vibration subsoiler (http://www.nongjitong.com/product/dahua_1sz-270_deep_loosening_machine.html (accessed on 12 November 2020)).
Figure 2. DaHua BaoLai 1SZ-180 forced-excited vibration subsoiler (http://www.nongjitong.com/product/dahua_1sz-270_deep_loosening_machine.html (accessed on 12 November 2020)).
Agriculture 11 00575 g002
Figure 3. (a) Great Plains SS1300 subsoiler (http://www.greatplainsmfg.com.ua/en-gb/products/710/sub-soiler-narrow-tillage (accessed on 8 December 2020)); (b) Kverneland GLG-II subsoiler (https://www.kverneland.cn/node_80887/node_80897/node_80958# (accessed on 8 December 2020)); (c) AGRI-WELD subsoiler (https://www.plowmanbrothers.com/plowman-agricultural/ (accessed on 8 December 2020)).
Figure 3. (a) Great Plains SS1300 subsoiler (http://www.greatplainsmfg.com.ua/en-gb/products/710/sub-soiler-narrow-tillage (accessed on 8 December 2020)); (b) Kverneland GLG-II subsoiler (https://www.kverneland.cn/node_80887/node_80897/node_80958# (accessed on 8 December 2020)); (c) AGRI-WELD subsoiler (https://www.plowmanbrothers.com/plowman-agricultural/ (accessed on 8 December 2020)).
Agriculture 11 00575 g003
Figure 4. (a) Subsoiling assembly with the electric-hydraulic control system (Wang et al., 2018); (b) Subsoiler equipped with four subsoiling assemblies with the electric-hydraulic control system (Wang, 2019).
Figure 4. (a) Subsoiling assembly with the electric-hydraulic control system (Wang et al., 2018); (b) Subsoiler equipped with four subsoiling assemblies with the electric-hydraulic control system (Wang, 2019).
Agriculture 11 00575 g004
Figure 5. The soil-tool-residue interaction model (Zeng et al., 2020).
Figure 5. The soil-tool-residue interaction model (Zeng et al., 2020).
Agriculture 11 00575 g005
Figure 6. Analysis of the soil disturbance process (Hang et al., 2017): (a) Schematic diagram of the disturbance process in the longitudinal-sectional; (b) Schematic diagram of the disturbance process in the transverse-sectional.
Figure 6. Analysis of the soil disturbance process (Hang et al., 2017): (a) Schematic diagram of the disturbance process in the longitudinal-sectional; (b) Schematic diagram of the disturbance process in the transverse-sectional.
Agriculture 11 00575 g006
Table 1. Relevant development regulations of subsoiling and land preparation technology in China.
Table 1. Relevant development regulations of subsoiling and land preparation technology in China.
RegulationRelated Content
Ministry of Agriculture and Rural Affairs: National agricultural machinery subsoiling and land preparation operation implementation plan (2016–2020) [27]In 2016–2020, the nationwide annual operation area of subsoiling and land preparation via agricultural machinery exceeds 10 million ha
State Council: Government Work Report [a] (2015) [28]Promote land renovation, add 13.33 million ha land under subsoiling and land preparation
State Council: Government Work Report (2014) [29]Launch a pilot project to adopt subsoiling and land preparation technology covering 6.67 million ha
State Council: Central Document No.1 [b] (2014) [30]Give great impetus to advance mechanization of subsoiling and land preparation
Ministry of Agriculture: National agricultural machinery subsoiling and land preparation operation implementation plan(2011–2015) [31]A total of 71.3 million ha area in the nation will be subsoiled in 2011–2015
State Council: Opinions of the State Council on promoting sound and rapid development of agricultural mechanization and agricultural machinery industry (2010) [32]Implement pilot projects to subsidize subsoiling and land preparation at suitable regions
State Council: Central Document No.1 (2010) [33]Give great impetus to extend subsoiling and land preparation machinery
Ministry of Finance: Interim measures for the administration of the centralized use of the newly increased central funds for comprehensive agricultural subsidies for the building of basic grain capacity (2009) [34]Bring conservation tillage methods such as subsoiling and land preparation into the key support scope of the newly increased agricultural funds for comprehensive subsidies
State Council: Central Document No.1 (2009) [35]Implement pilot projects to subsidize the mechanized operation in the key link
[a] “Government Work Report” is a form of the official document of the Government of the People’s Republic of China, which clearly points out the government’s tasks for the current year; [b] “Central Document No.1” is the name originally given to the first document issued by the central authority every year, and focuses on the development of agriculture, rural areas, and farmers in 1982.
Table 2. Comparison of different kinds of subsoiling machines.
Table 2. Comparison of different kinds of subsoiling machines.
Working ((((((FunctionTypeCompanyCountryMechanismWorking Width (mm)Matched Power (kW)Features
Combined
machine
DIABLO
[39]
MaschioItalyTwo-row winged shovels; Stubble breaking discs; Rear rollers with two rows of discs5000–7000300–400Having ample clearance between shovels and rear discs
Combined
machine
2730 [40]John DeereUSATwo rows of stubble breaking discs arranged symmetrically; Spring-tooth harrows; A suppress roller4300–6800250–460Lower operation costs
Subsoiling ploughAP31 [41]AgrowplowAustraliaNine deep tillage ploughs; Two supporting wheels2310–297073.5–132.3Bolt-less for the quick changing of ploughs and points
Subsoiling plough9200 [42]SalfordBritainSeven shovels with 0.99m spacing5320206Equipped with automatic spring reset obstacle protection system
Omni-directional subsoiler1S-300C [43]DahuaChinaThe chisel shovel with left and right winged shovels; Three rows beams; A suppress roller; Two gauge wheels3000147–191.1With overload protection
Omni-directional subsoiler1SQ-330
[44]
AolongChinaSix side bended shovels; Two gauge wheels; A suppress roller330099.2–154.4Tips of two shovels arranged symmetrically forms an inverted trapezoid
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Lou, S.; He, J.; Li, H.; Wang, Q.; Lu, C.; Liu, W.; Liu, P.; Zhang, Z.; Li, H. Current Knowledge and Future Directions for Improving Subsoiling Quality and Reducing Energy Consumption in Conservation Fields. Agriculture 2021, 11, 575. https://0-doi-org.brum.beds.ac.uk/10.3390/agriculture11070575

AMA Style

Lou S, He J, Li H, Wang Q, Lu C, Liu W, Liu P, Zhang Z, Li H. Current Knowledge and Future Directions for Improving Subsoiling Quality and Reducing Energy Consumption in Conservation Fields. Agriculture. 2021; 11(7):575. https://0-doi-org.brum.beds.ac.uk/10.3390/agriculture11070575

Chicago/Turabian Style

Lou, Shangyi, Jin He, Hongwen Li, Qingjie Wang, Caiyun Lu, Wenzheng Liu, Peng Liu, Zhenguo Zhang, and Hui Li. 2021. "Current Knowledge and Future Directions for Improving Subsoiling Quality and Reducing Energy Consumption in Conservation Fields" Agriculture 11, no. 7: 575. https://0-doi-org.brum.beds.ac.uk/10.3390/agriculture11070575

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop