Algorithmic Governance And The Agrarian Transition: A Legal Framework For AI-Driven Sustainable Development In Rural India
- IJLLR Journal
- May 26
- 1 min read
Dr Pritee Ramkrishna Deotale, Assistant Professor of Law, School of Law and Governance, Vishwakarma University, Pune, MH.
ABSTRACT
India’s agriculture sector has seen a significant transformation over the decades. It shifted from traditional methods to a data-driven, AI-enabled ecosystem. India’s agricultural strategy is based on a techno-legal framework of the Digital Agriculture Mission 2024, the Bharat VISTAAR platform, and the Agri-Stack Infrastructure. After analysing the study of structural equation modelling (SEM) from its stakeholders and evaluating the landmark judicial decisions from the Puttaswamy case and Pragya Prasun case, this research finally recognised the pillars of AI-enabled smart agriculture. It needs knowledge and acceptance from farmers, adoption of AI technology, precision farming technologies, support from policy and infrastructure, and, lastly, efficient availability of resources. The productivity of a farm is an essential parameter of sustainable rural development in India, but it also signifies legal friction points about data sovereignty under the Digital Personal Data Protection Act and its algorithmic accountability.
Keywords: AI-enabled ecosystem, Digital Agriculture Mission, Bharat VISTAAR platform, Agri-Stack Infrastructure.
