Delayed Detection
Manual inspection misses early-stage diseases, causing widespread crop loss before anyone notices.

NexcropAI builds autonomous agriculture drones with on-board intelligence. Our flagship system, NexcropAI, detects crop disease in real time and sprays only the plants that need it.
Traditional farming methods were not built for the speed at which modern crop disease spreads.
Manual inspection misses early-stage diseases, causing widespread crop loss before anyone notices.
Blanket spraying wastes 60–80% of pesticide on perfectly healthy plants.
Excessive chemical use and manual labour drive up operational costs for farmers every season.
Indiscriminate spraying contaminates soil, water and non-target organisms.
Deep learning, edge computing, autonomous GPS navigation and adaptive spraying — fused into a single decision loop that completes mid-flight.
Aerial camera and multispectral sensors capture the canopy in flight.
On-board YOLO inference detects disease and grades severity instantly.
A rule engine fuses AI output with crop-specific spraying logic.
Nozzles actuate with adapted intensity — only over infected zones.

On-device inference
Detection → Spray in one pass
Six engineering decisions that separate a camera drone from an intelligent field system.
Real-time YOLO inference on NVIDIA Jetson Nano. No cloud, no latency, works in remote fields.
Spray intensity, droplet size and duration adapt dynamically to infection level and crop type.
GPS waypoint flight plans deliver full field coverage without a manual pilot.
Every disease hit and spray event is geotagged and mapped for downstream farm analytics.
A rule-based engine converts model output into targeted, explainable actuation commands.
Configurable profile for tea, with its own spray strategy.
Estates, farms and agri-enterprises are cutting chemical spend while catching disease earlier. See what NexcropAI does over your crop.