AI-Driven Remote Sensing Agriculture
This AI solution uses AI on multi-source remote sensing (towers, drones, satellites, IoT sensors, RF, and 5G networks) to monitor crop health, growth, and field conditions at high spatial and temporal resolution. By enabling early disease detection, precise input application, autonomous machinery, and real-time parcel-level insights, it boosts yields, reduces input costs, and supports more sustainable, data-driven farm operations.
The Problem
“Unify Sensors and AI for Real-Time, Parcel-Level Crop Intelligence”
Organizations face these key challenges:
1
Delayed or missed detection of crop diseases and stress
2
Inefficient fertilizer, water, and pesticide application
3
Fragmented data across disparate sensing devices
4
Manual scouting and reporting is labor intensive and error-prone