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AI in Precision Agriculture: How Smart Farms Are Cutting Costs and Boosting Yields
Refers to the application of machine learning, computer vision, robotics, remote sensing, and predictive analytics to manage farms at field and plant level with high spatial and temporal resolution. At its core it replaces coarse, uniform decisions with data-driven, localized actions: variable-rate inputs, targeted pest control, and predictive harvesting. This definition emphasizes integration across hardware, […]
