Advanced soil moisture sensors combined with NDVI mapping analyze overall farm health and hydration levels.
Onboard AI uses image classification to detect early signs of crop diseases (blight, rust) before they spread.
Thermal and motion analysis identify pest hotspots, distinguishing between harmless wildlife and crop-destroying insects.
Machine Learning models predict future yield volume and suggest the optimal harvesting time for maximum profit.
Combines IoT + Drone Robotics + Machine Learning — the core future of agriculture. It shifts farming from "reactive" (fixing problems) to "predictive" (preventing them).
Creates an intelligent, predictive farming system that significantly increases yield while reducing water, fertilizer, and operational costs.