Emerging Digital Technologies in Indian Agriculture: Adoption, Applications, Benefits, and Future Directions
| Author(s) | : | Ahesanali S. Dadavala, Biren M. Patel, Sirajali A. Nagalpara |
| Institution | : | H.N.G. University, Gujarat, India |
| Published In | : | Vol. 13, Issue 11 — November 2026 |
| Page No. | : | 1-9 |
| DOI | : | 10.5281/zenodo.24160150 |
| Domain | : | Computer Engineering / Information Technology |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Indian agriculture, which sustains the livelihoods of over 150 million farmers, is undergoing a rapid digital transformation driven by Artificial Intelligence (AI), the Internet of Things (IoT), and allied smart-farming technologies. This paper presents a concise review examining which digital technologies are being adopted across Indian agriculture during 2025-2026, how they function, and what benefits and limitations they present. The review method involved a structured, non-systematic scoping of peer-reviewed journal articles, conference papers, and government reports published mainly between 2021 and 2026, covering thirteen technology domains spanning AI, IoT, precision agriculture, drones, remote sensing, machine learning, computer vision, robotics, big data, cloud/edge computing, smart irrigation, blockchain, and the emerging Agriculture 5.0 paradigm. The results show that adoption is most advanced where technologies address acute, visible constraints such as water scarcity and fragmented field geometry, with documented outcomes including 20-35% water savings from smart irrigation and yield gains of up to 40% from AI-driven advisory programs. Comparative analysis further indicates that capital-intensive technologies such as robotics and blockchain remain concentrated among commercial farms, while low-cost sensing and AI-advisory tools have achieved broader smallholder reach. The discussion highlights that persistent barriers-fragmented landholdings, rural connectivity gaps, and limited digital literacy-continue to constrain equitable, nationwide scale-up, and identifies Edge AI, digital twins, explainable AI, and autonomous farming as priority directions for future development.
Ahesanali S. Dadavala, Biren M. Patel, Sirajali A. Nagalpara, “Emerging Digital Technologies in Indian Agriculture: Adoption, Applications, Benefits, and Future Directions”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 13, Issue 11, pp. 1-9, November 2026, DOI: 10.5281/zenodo.24160150.
