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Correction

Correction: Chidepatil et al. (2020). From Trash to Cash: How Blockchain and Multi-Sensor-Driven Artificial Intelligence Can Transform Circular Economy of Plastic Waste? Administrative Sciences 10: 23

Radical Innovations Group, 65380 Vaasa, Finland
*
Author to whom correspondence should be addressed.
Submission received: 18 June 2021 / Accepted: 18 June 2021 / Published: 5 July 2021
(This article belongs to the Special Issue Industrial Ecology and Innovation)
The authors would like to make the following corrections about the published paper (Chidepatil et al. 2020). The changes are as follows:
In the original article, there was a mistake in Figure 1 as published. The authors would like to change the unit of the y-axis to kilograms [kg] and put a measurement in million tonnes [Mt] into the circles in Figure 1. Thus, we need to replace the original Figure 1:
Figure 1. Annual virgin plastic produced (top) and trashed as waste (bottom) in million tonnes [Mt] for different shaded regions in 2010. Per capita virgin plastic production (solid) and waste generated (dotted) for different shaded regions.
Figure 1. Annual virgin plastic produced (top) and trashed as waste (bottom) in million tonnes [Mt] for different shaded regions in 2010. Per capita virgin plastic production (solid) and waste generated (dotted) for different shaded regions.
Admsci 11 00067 g001
With:
Figure 1. Annual virgin plastic produced (top) and trashed as waste (bottom) in million tonnes [Mt] for different shaded regions in 2010. Per capita virgin plastic production (solid) and waste generated (dotted) for different shaded regions.
Figure 1. Annual virgin plastic produced (top) and trashed as waste (bottom) in million tonnes [Mt] for different shaded regions in 2010. Per capita virgin plastic production (solid) and waste generated (dotted) for different shaded regions.
Admsci 11 00067 g002
The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original article has been updated.

Reference

  1. Chidepatil, Aditya, Bindra Prabhleen, Kulkarni Devyani, Qazi Mustafa, Kshirsagar Meghana, and Sankaran Krishnaswamy. 2020. From Trash to Cash: How Blockchain and Multi-Sensor-Driven Artificial Intelligence Can Transform Circular Economy of Plastic Waste? Administrative Sciences 10: 23. [Google Scholar] [CrossRef] [Green Version]
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MDPI and ACS Style

Chidepatil, A.; Bindra, P.; Kulkarni, D.; Qazi, M.; Kshirsagar, M.; Sankaran, K. Correction: Chidepatil et al. (2020). From Trash to Cash: How Blockchain and Multi-Sensor-Driven Artificial Intelligence Can Transform Circular Economy of Plastic Waste? Administrative Sciences 10: 23. Adm. Sci. 2021, 11, 67. https://0-doi-org.brum.beds.ac.uk/10.3390/admsci11030067

AMA Style

Chidepatil A, Bindra P, Kulkarni D, Qazi M, Kshirsagar M, Sankaran K. Correction: Chidepatil et al. (2020). From Trash to Cash: How Blockchain and Multi-Sensor-Driven Artificial Intelligence Can Transform Circular Economy of Plastic Waste? Administrative Sciences 10: 23. Administrative Sciences. 2021; 11(3):67. https://0-doi-org.brum.beds.ac.uk/10.3390/admsci11030067

Chicago/Turabian Style

Chidepatil, Aditya, Prabhleen Bindra, Devyani Kulkarni, Mustafa Qazi, Meghana Kshirsagar, and Krishnaswamy Sankaran. 2021. "Correction: Chidepatil et al. (2020). From Trash to Cash: How Blockchain and Multi-Sensor-Driven Artificial Intelligence Can Transform Circular Economy of Plastic Waste? Administrative Sciences 10: 23" Administrative Sciences 11, no. 3: 67. https://0-doi-org.brum.beds.ac.uk/10.3390/admsci11030067

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