Transforming Indian Agriculture Through Precision Technologies: Adoption Challenges, Technological Advancements, and Future Pathways: A Comprehensive Review

Abstract:

Precision agriculture (PA) is rapidly reshaping the landscape of Indian farming by enabling site-specific, data-driven crop management that optimizes resource use while enhancing productivity and environmental sustainability. India, home to over 146 million farm holdings, of which more than 86% are smallholder operations, faces unique structural and infrastructural challenges in the adoption of precision agricultural technologies. This comprehensive review synthesizes recent scientific evidence (2018-2025) on the current status, technological components, adoption drivers, socioeconomic barriers, and future prospects of precision agriculture across India's diverse agro-climatic zones. Key technologies examined include remote sensing, geographic information systems (GIS), global navigation satellite systems (GNSS), unmanned aerial vehicles (UAVs/drones), variable rate technology (VRT), Internet of Things (IoT) sensor networks, and artificial intelligence (AI)/machine learning (ML)-based decision-support systems. Evidence from multiple pan-India studies indicates that precision agriculture interventions have achieved fertilizer use efficiency gains of 15-32%, water savings of 20-40%, yield improvements of 10-25%, and pesticide reduction of 25-45% under Indian conditions. However, adoption rates remain below 5% among smallholder farmers, constrained by high initial investment costs, fragmented landholdings, limited digital literacy, and inadequate rural connectivity. Recent government initiatives, particularly the Digital Agriculture Mission (2021-2025), the Pradhan Mantri Kisan Drone Yojana (2022), and the National Agri Stack framework, are creating enabling ecosystems for scaled deployment. This review identifies critical research gaps and proposes a multi-pronged strategy integrating subsidized technology access, capacity building, policy reform, and public-private partnerships to accelerate the transition toward data-driven farming in India.