data driven irrigation

Data driven irrigation combines soil probes, satellite imagery, and machine intelligence to optimize water use in agriculture. A case study from Chile's Maipo Basin demonstrates how cloud computing and precision irrigation deliver verified water savings in water-stressed regions. The approach integrates real-time soil moisture data, weather forecasts, and crop models to schedule irrigation precisely, reducing waste while maintaining yields. This tag covers discussions of AI, satellite monitoring, and outcome-based verification in agricultural water management, with a focus on practical, repeatable methods for scarce river basins.