Agricultural technology company TerraVision has deployed an AI-powered crop monitoring system across 2 million acres of farmland in California's Central Valley. The system combines satellite imagery, soil sensors, and weather data to provide real-time irrigation recommendations, resulting in an average 30% reduction in water usage.
The platform uses computer vision models trained on multispectral satellite images to assess crop health at the individual plant level. When combined with soil moisture data from IoT sensors, the AI generates precise irrigation schedules that deliver water only where and when it's needed.
Early adopters report that crop yields have remained stable or even improved despite the significant reduction in water consumption. TerraVision is now expanding into the Midwest, where the technology will be adapted for corn and soybean operations.
