Use of sensors, GPS, and drones to optimize crop yields and reduce waste.
AI-powered systems to track animal health, behavior, and productivity.
AI-powered systems to analyze crop growth, detect disease, and optimize yield.
Autonomous robots for planting, harvesting, and other tasks.
Using machine learning to forecast crop yields and manage resources more efficiently.
Unmanned aerial vehicles for crop surveillance, mapping, and spraying.
AI-powered systems to analyze soil health and recommend optimal fertilization and irrigation.