A Study on the Convergence of AI and Blockchain in Indian Agriculture Supply Chain Management

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Authors: S. Devi, S. Yamuna
Cited by: 0

Abstract

The Indian agriculture sector is poised for a transformative shift with the convergence of Artificial Intelligence (AI) and Blockchain technology in supply chain management. This paper explores the potential of AI and Blockchain integration to enhance the efficiency, transparency, and sustainability of agricultural supply chains in India. Blockchain technology enables real-time tracking and monitoring of produce, reducing information asymmetry and ensuring fair prices for farmers. AI-powered predictive models forecast crop yields, detect diseases, and optimize supply chain operations, minimizing losses and improving decision-making. Blockchain-based smart contracts automate payment settlements, reducing transaction costs and ensuring timely payments to farmers. AI-driven analytics provide actionable insights on market trends, soil health, and weather patterns, empowering farmers to make informed decisions. The integration of AI and Blockchain technologies has the potential to revolutionize the Indian agriculture supply chain, empowering farmers, reducing inefficiencies, and promoting sustainable agriculture practices. This paper highlights the opportunities, challenges, and future directions for the convergence of AI and Blockchain in Indian agriculture supply chain management.

Fields of Study & Subjects

Blockchain Technology Applications and Security Smart Agriculture and AI Food Supply Chain Traceability

Publication details

Journal / source
International Journal For Multidisciplinary Research
Volume
8
Issue
1
Publication date
4 February 2026
Language
EN