Advancements in Precision Agriculture and Digital farming in India: A Strategic Analysis

Since the 1990s, precision farming has introduced a revolution in agricultural practices and has evolved significantly in terms of the application of GPS, GIS, and yield monitors. Such technologies have substantially contributed to the Indian agriculture sector over the past two decades by increasing productivity, resource management, and decision-making along with reducing environmental impact. The current global precision farming market was valued at USD 10.50 billion in 2023, and is expected to grow at a compound annual growth rate (CAGR) of 12.8% between 2024 and 2030. The analysis of data that has already been acquired by others is referred to as secondary data analysis. Developing advanced technologies such as AI, ML, IoT, and agricultural robotics plays a crucial role in data-driven digital farming by improving efficiency and sustainability. Precision seeding, utilizing variable-rate technologies, has shown 10% to 30% greater efficiency compared to conventional methods. IoT has increased agricultural productivity by 70%, aligning with the future scope for 2050. The Digital Agriculture Mission 2021–2025 and the 'India Digital Ecosystem of Agriculture,' centered on 'AgriStack,' are pivotal in driving sector digitalization and increasing farmers’ income. Several modern applications, including Soil Health Card, Plantix, Meghdoot, and mKisan, are enhancing areas like soil health, fertilizer recommendations, irrigation scheduling, and pest management. Future developments like Deep Leaf, which uses deep learning to enhance measurement accuracy with average errors as low as 4.6% for leaf length and 5.7% for leaf width, will further streamline agricultural processes. However, the adoption rate of precision agriculture is expected to stabilize post-2030. Continuous advancements in AI, ML, and IoT are anticipated to further propel productivity, profitability, and sustainability in agriculture, ensuring effective land resource protection and minimizing environmental impact.