Precision Agriculture
Also called: precision farming, smart farming, site-specific management
Precision agriculture is a farming approach that uses GPS, sensors, satellite imagery, AI, and data analytics to optimize inputs — water, fertilizer, seeds, pesticides — for each specific zone within a field rather than treating entire farms uniformly. The goal is to cut wasted inputs and target productivity where each part of the field can respond, instead of managing the whole farm as one block.
How Precision Agriculture Works
Precision agriculture is built on one simple insight: fields are not uniform. Soil type, moisture, organic matter, pest pressure, and yield potential all vary within a single field, sometimes dramatically across 10-meter distances. Applying a uniform rate of fertilizer, seed, or water across that variability is wasteful in productive zones (over-application) and yield-limiting in poor zones (under-application).
The core toolkit includes: GPS-guided equipment for sub-meter accuracy, multispectral satellite and drone imagery for crop monitoring (see NDVI), IoT soil moisture and nutrient sensors, weather stations and forecasting, AI/ML models for yield and disease prediction, and variable rate technology (VRT) that adjusts input application on the fly per GPS coordinate.
Adoption has accelerated because the cost has collapsed. Software-only platforms (like WiseYield) start at €22/month and deliver satellite imagery, weather intelligence, and AI recommendations without any hardware investment. Hardware-intensive precision (auto-steer tractors, yield monitors, VRT applicators) adds €5,000–50,000 but delivers sub-season ROI on farms over 200 hectares. Small farms (under 50 ha) benefit most from software-only precision — imagery, AI recommendations, and farm financial tracking — without hardware.
Sources
- USDA Economic Research Service (2024). Technology use in U.S. agriculture.
- Gebbers & Adamchuk (2010). Precision agriculture and food security. Science.