What Precision Agriculture Really Costs for Small and Marginal Farmers: A Look Through Sat2Farm
Dr. Sat Kumar Tomer & Dr. Yukti Gill, Founder, CEO & Co-founder, MD of Satyukt Analytics Private LimitedBengaluru (Karnataka) [India], May 2...
Bengaluru (Karnataka) [India] : In India, small and marginal farmers are defined by landholding size. Marginal farmers cultivate less than 1 hectare (about 2.47 acres), while small farmers operate between 1 and 2 hectares (roughly 2.47 to 4.94 acres). Together, they account for over 85% of India’s farmers, yet work on about 47% of the cultivated land and produce more than 40% of the country’s food grains, supporting an agricultural sector that contributes around 17–18% to GDP. At the farm level, decision-making cannot assume uniformity. Even within a single acre, soil moisture, nutrient levels, and crop health vary across different sections, which means effective farming requires understanding these micro-level differences rather than treating the field as one unit.
Satellite-based precision agriculture makes this possible by capturing variation within the farm and turning it into actionable insights. Solutions like Sat2Farm provide a continuous, field-wide view, helping identify stress and variability early, even for farms as small as a single acre. With a typical 10-meter resolution, each pixel represents a specific area within the field, and a one-acre farm can be observed through roughly 30–40 pixels or data points, each reflecting conditions in a different part of the field. In contrast, IoT sensors provide high accuracy but only at fixed points. A single sensor reflects conditions only at its installed location, and capturing similar variation requires placing multiple sensors across the field, increasing cost and complexity. Satellite systems, on the other hand, deliver these multi-point insights without incremental hardware costs, making them more accessible while enabling better input use, reduced wastage, and improved economic outcomes.
Understanding What Precision Agriculture Means at the Farm Level
Precision agriculture is the use of data and technology to make farming decisions more accurate and timely. It involves monitoring soil conditions, tracking crop health, planning irrigation, and applying inputs like fertilisers in the right quantity at the right time. The key shift is moving away from treating a field as uniform to recognising variation within it, and acting on those differences to improve efficiency and outcomes.
For small and marginal farmers, this approach builds on what they already do. Decisions are often based on observation and experience, but are limited by what can be seen at a given moment. Precision agriculture adds structured, continuous insights that strengthen these decisions. The real consideration, however, is economic. Any shift from traditional practices must justify its cost through clear gains, whether in reduced input use, better yields, or more consistent farm performance.