India’s use of artificial intelligence in agriculture is entering an important phase of maturity. In 2026, the focus is expected to move beyond pilots and isolated experimentation toward questions of integration, reliability, and scale.
This shift is less about dramatic technological breakthroughs and more about how digital tools are absorbed into the everyday functioning of agricultural institutions and value chains.
Over the past decade, a wide range of AI-driven applications have been developed for agriculture, from crop advisory and pest detection to yield estimation.
