The article explores how artificial intelligence (AI) could help transform agriculture and horticulture in the Kashmir Valley, which is facing challenges such as unpredictable weather, pest outbreaks, rising costs and volatile markets. Experts believe that traditional farming knowledge alone is no longer sufficient in the face of climate change, and that AI tools — if adopted at scale — can help farmers make more evidence-based decisions rather than relying on intuition.
AI-powered innovations are already being tested in the region. Examples include AI-based disease detection in apple orchards using image recognition, smart irrigation systems that use soil moisture and weather data to optimise watering, weather-linked advisories, and market analytics that help farmers decide when and where to sell produce. Farmers in pilot districts like Shopian and Baramulla say these technologies have helped lower input costs and reduce losses.
Government and institutional support plays a role in this emerging shift, with the Union Territory’s administration collaborating with organisations such as SKUAST-K and Krishi Vigyan Kendras to digitise land and crop data and integrate AI with existing agricultural schemes. However, barriers remain — including poor connectivity, low digital literacy, language limitations, and concerns about cost and trust in machine recommendations — which experts say must be addressed through training, demonstration sites, and farmer-centric designs.
The article also highlights that AI’s potential extends beyond crop management to youth employment, opening opportunities for technicians, data analysts and agri-tech entrepreneurs in the Valley. Nonetheless, it stresses that AI should be blended with local farming knowledge and not imposed externally, and that sustained investment, innovation and farmer confidence will determine whether this technology sparks a true “green revolution” in the region’s agriculture.
