Published Paper Details:

Indian agriculture continues to face challenges like low productivity, inefficient resource use, and unpredictable climatic conditions due to its dependence on traditional farming practices. As the nation's economy heavily depends on crop production, strengthening agricultural systems has become increasingly important. The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) has emerged as an effective smart farming strategy to overcome these limitations. AI-based applications, combined with real-time data from sensors, drones, and satellite imaging, aid in agricultural activities like fertilizer selection, water management, crop selection, soil fertility prediction, and much more. Despite its potential, the adoption of smart farming is limited by high initial costs, insufficient rural infrastructure, data management issues and the need for continuous technological upgrades and training. Nevertheless, smart farming offers a sustainable and innovative approach to meeting the growing food demand, improving resource efficiency, and promoting environmental and human health. This review offers a glimpse of how digital-agriculture innovations can transform the sector toward greater productivity and ecological sustainability.