Aditya Chidepatil
Research Subjects
Aditya Chidepatil has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Devyani Kulkarni
Radical Innovations Group, 65380 Vaasa, Finland
2 shared publications - Krishnaswamy Sankaran
Radical Innovations Group, 65380 Vaasa, Finland
2 shared publications - Meghana Kshirsagar
University of Limerick
2 shared publications - Mustafa Qazi
Radical Innovations Group, 65380 Vaasa, Finland
2 shared publications - Prabhleen Bindra
Radical Innovations Group, 65380 Vaasa, Finland
2 shared publications
Latest Publications
- Open Access
- 5 July 2021
- Published by MDPI AG in Administrative Sciences
- Vol. 11 (3) , 67
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
The authors would like to make the following corrections about the published paper
- 5 July 2021
- Published by MDPI AG in Administrative Sciences
- Vol. 11 (3) , 67
Open AccessCorrection: 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
The authors would like to make the following corrections about the published paper
- Open Access
- 15 April 2020
- Published by MDPI AG in Administrative Sciences
- Vol. 10 (2) , 23
From Trash to Cash: How Blockchain and Multi-Sensor-Driven Artificial Intelligence Can Transform Circular Economy of Plastic Waste?
Virgin polymers based on petrochemical feedstock are mainly preferred by most plastic goods manufacturers instead of recycled plastic feedstock. Major reason for this is the lack of reliable information about the quality, suitability, and availability of recycled plastics, which is partly due to lack of proper segregation techniques. In this paper, we present our ongoing efforts to segregate plastics based on its types and improve the reliability of information about recycled plastics using the first-of-its-kind blockchain smart contracts powered by multi-sensor data-fusion algorithms using artificial intelligence. We have demonstrated how different data-fusion modes can be employed to retrieve various physico-chemical parameters of plastic waste for accurate segregation. We have discussed how these smart tools help in efficiently segregating commingled plastics and can be reliably used in the circular economy of plastic. Using these tools, segregators, recyclers, and manufacturers can reliably share data, plan the supply chain, execute purchase orders, and hence, finally increase the use of recycled plastic feedstock.
- 15 April 2020
- Published by MDPI AG in Administrative Sciences
- Vol. 10 (2) , 23
Open AccessFrom Trash to Cash: How Blockchain and Multi-Sensor-Driven Artificial Intelligence Can Transform Circular Economy of Plastic Waste?
Virgin polymers based on petrochemical feedstock are mainly preferred by most plastic goods manufacturers instead of recycled plastic feedstock. Major reason for this is the lack of reliable information about the quality, suitability, and availability of recycled plastics, which is partly due to lack of proper segregation techniques. In this paper, we present our ongoing efforts to segregate plastics based on its types and improve the reliability of information about recycled plastics using the first-of-its-kind blockchain smart contracts powered by multi-sensor data-fusion algorithms using artificial intelligence. We have demonstrated how different data-fusion modes can be employed to retrieve various physico-chemical parameters of plastic waste for accurate segregation. We have discussed how these smart tools help in efficiently segregating commingled plastics and can be reliably used in the circular economy of plastic. Using these tools, segregators, recyclers, and manufacturers can reliably share data, plan the supply chain, execute purchase orders, and hence, finally increase the use of recycled plastic feedstock.