Blockchain-Enabled Fair Profit and Transparent Supply Chain Platform for Small-Scale Farmers: A Case for Agricultural Transformation
India's agricultural sector is the backbone of the country, yet there are inefficiencies, a lack of transparency, and unequal farmer prices in its supply chain. Issues including inadequate market accessibility, inadequate infrastructure, and insufficient value addition exacerbate these challenges, especially for small and marginal farmers. Stakeholder collaboration is occasionally lacking in traditional supply chain systems, which leads to uneven farmer compensation and inefficient product delivery to consumers. Information and communication technologies (ICT) have been used to solve these problems in the past, but scalability, data security, and cost-effectiveness have all been shown to be lacking. With its core characteristics of automation, security, and transparency, blockchain technology presents a viable substitute. Blockchain technology can be used in the agricultural supply chain, but there are a number of obstacles to overcome, such as high implementation costs, complicated technology, and a need for major stakeholder engagement. This study investigates how blockchain technology could resolve these problems and transform India's agricultural supply chain. The goal is to create a system that leverages smart contracts to improve product traceability, increase trust, and automate procedures. Additionally, the study looks at certain blockchain applications including payment automation and farm-to-customer monitoring that make use of Node.js, Ganache, Truffle, and MetaMask technologies. This paper offers a thorough evaluation of earlier studies and offers a method for building an agricultural ecosystem that is more open, effective, and sustainable and that benefits supply chain participants, farmers, and consumers. The development of a blockchain-based software program is the main objective of this project, which attempts to increase the efficiency and transparency of the agricultural supply chain. No direct model comparisons have been done because the effort focuses on a software solution rather than a prediction model. The system's ability to improve transaction transparency, security, and traceability is the main focus of the performance evaluation.
Authors
- Surendra Pal (ORCID: https://orcid.org/0000-0003-0259-4087)
- M. Bhuvaneswari (ORCID: https://orcid.org/0000-0002-4970-0820)
- Aman Kumar (ORCID: https://orcid.org/0000-0002-4061-562X)
Institutions
- Vellore Institute of Technology University (IN)
Publication Details
- Published
- 2024-10-15
- DOI
- https://doi.org/10.1109/icses63445.2024.10763035
- Citations
- 1
- Primary Topic
- Food Waste Reduction and Sustainability
- Type
- article
- Field-Weighted Citation Impact
- 0.35