A study on "Exploring the Role of Artificial Intelligence in the Transformation of Indian Agriculture "
Authors
Lecturer in Botany Dr. V.S Krishna Govt. Degree college. Visakhapatnam (India)
Lecturer in Botany Govt. Degree college for Women. Marripalem (India)
Lecturer in Botany Dr. V.S Krishna Govt. Degree college. Visakhapatnam (India)
Lecturer in Botany Govt. Degree college for Men Kurnool (India)
Article Information
Publication Timeline
Submitted: 2026-01-23
Accepted: 2026-01-29
Published: 2026-02-11
Abstract
Over half of India's population depends upon agriculture for their livelihoods, although it faces many obstacles as water scarcity, low productivity, and land fragmentation. Due to restricted access to contemporary equipment, over 86% of farmers cultivate small plots, which results in inefficiencies. Unpredictable weather, deteriorating soil health, pest outbreaks, low production, and soil degradation from chemical fertilizers are some of the major issues facing Indian agriculture. Furthermore, post-harvest losses due to insufficient storage, inefficient markets, and transportation reduce farmer earnings, and many are unable to obtain essential market data, leaving them vulnerable to price manipulation.
AI is a field of computer science that develop systems that can learn or be taught to make judgments and predictions within specific context,. Numerous intelligent behaviours, like process optimization and predictive modelling, pattern recognition, natural language processing and machine translation may be carried out by AI applications. To overcome these, Artificial Intelligence (AI) is emerging as a game-changing tool, helping Indian farmers shift from traditional to data-driven, precision-based agriculture.
With the use of predictive forecasting, this approach will assist farmers in understanding market demand. In the future of tomorrow, artificial intelligence and its related sciences are geared to "AI Agro technology."
Keywords
Artificial Intelligence ,water scarcity, Inefficient markets AI Agro technology, AI applications
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References
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