Synergistic Integration of Blockchain Technology and Machine Learning Algorithms for Optimization of Agriculture Supply Chain Management
This research study focuses on the discussion of blockchain and machine learning optimization in the conventional agricultural supply chain. Optimization of both rising technologies has the possibility of addressing some of the complex and entrenched issues that confront the agricultural industry while receiving calls for more openness, honesty, and productivity. Blockchain, being the technological application that is based on secure and transparent transactions and enables the assurance of immutability and Machine Learning as a data driven power in optimization, leads to a significantly better traceability, erased inefficiencies, less substances and time to market. It is however not entirely without some few challenges that will have to be overcome for all these innovations to come into their own. Among the obstacles that need to be overcome for realization of these innovations some of the critical ones are Technology and Data issues and Stakeholder issues.
Authors
- K. C. Bhosale (ORCID: https://orcid.org/0000-0002-9429-6572)
- Prema Sahane (ORCID: https://orcid.org/0000-0002-2988-5151)
- Gayatri G. Asalkar (ORCID: https://orcid.org/0009-0006-4993-8106)
- Atharv Pedde
- Samarth Hanse
- Tejas Ghondage
Publication Details
- Published
- 2025-02-05
- DOI
- https://doi.org/10.1109/idciot64235.2025.10914999
- Primary Topic
- Digitalization and Economic Development in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 0.00