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Precision agriculture uses technologyβlike GPS mapping, drones, and sensorsβto collect real-time data about crops, soil, and weather. The goal is simple: apply the right input, at the right place, at the right time. For instance, soil sensors can measure moisture and nutrient levels across a field. Instead of applying fertilizer evenly, farmers target specific zones that need it most. This βsite-specific managementβ reduces waste and improves yield. Drones equipped with NDVI (Normalized Difference Vegetation Index) cameras can identify crop stress or pest infestation early. Data is analyzed through software or AI models to guide farmers in irrigation, pest control, and fertilization. Result: Higher efficiency, lower costs, and minimal environmental damage. In developing regions, precision agriculture is bridging the yield gap without increasing land use.
