Agriculture
70% of your herbicide is hitting bare soil. Vision fixes that at 15 mph.
Built for Precision Farming Director teams who need real-time visual intelligence without rebuilding an entire vision stack. EdgeReadyAI Hybrid SDK — edge inference where latency, privacy, or connectivity demand it.
Agriculture
Catch blight early — before 40% of the harvest is gone
Late blight detection destroys 20–40% of harvest; manual scouting is impossible at commercial scale. Weekly manual scouting misses rapid disease spread between field visits. Edge processes imagery on drone; cloud builds season-long georeferenced disease maps when link returns.
Late blight detection: 20-40% harvest loss · Harvest loss from disease: 6% vs 28% baseline
Deployment: hybrid · Integration: Farm management system
More use cases
How EdgeReadyAI fits agriculture
Operational scenarios where edge and hybrid computer vision deliver measurable outcomes.
Precision Weed Spraying (See-and-Spray)
Spray the weed, not the field — at full travel speed. Blanket spraying wastes ~70% of chemicals — driving cost, environmental penalties, and regulatory scrutiny. Improve chemical waste from 70% to 22% with edge mode inference.
Livestock Behavioral Anomaly Detection
Spot lameness and lethargy before the outbreak spreads. Feedlot disease outbreaks spread fast; manual inspection is unfeasible for thousands of head across remote ranches. Improve outbreak detection time from 72 to 8 with edge mode inference.
Agriculture
Map disease pressure — agronomy briefing
Talk to us about deploying the Hybrid SDK for drone crop disease mapping in your environment.