Applications

Drone-based crop analysis and treatment.

YUAN's AI-assisted drone systems recognize, count, and analyze crops including sorghum, red beans, hillside plum trees, and pineapples in dense rows.

Agricultural drone flying above crop rows at dusk

The challenge

Monitor large or difficult fields efficiently.

Pesticide application, crop monitoring, and health assessment often rely on manual labor. The work becomes more difficult in large fields, hillside orchards, and densely planted crops.

Walking the rows takes time, while blanket spraying can apply chemicals to areas that do not need treatment.

Terraced hillside orchard surrounded by mountains

The solution

Detect and segment crops from the air.

YUAN's drone workflow combines airborne sensors with detection and segmentation models. Demonstrated crops include sorghum, red beans, and hillside plum trees. Outputs can include plant counts, crop-health measurements, and area coverage.

Those outputs can inform targeted-treatment planning. The same platform can be configured for irrigation management, soil analysis, and yield prediction, subject to application-specific models and field validation.

Camera-equipped drone flying above a crop field

The payoff

Plan targeted treatment and field checks.

A targeted workflow may reduce blanket spraying and manual field checks. Actual treatment accuracy, chemical use, crop response, exposure, and operating cost depend on the aircraft, sensors, model, terrain, weather, and application settings.

Drone surveys provide an additional view of difficult terrain and densely planted rows. Flight safety, permissions, and agronomic decisions remain the operator's responsibility.

Agricultural drone spraying crop rows at dusk

The platform

UAV-ready edge compute.

Airborne systems have strict weight limits. YUAN's Pandora edge-AI kits provide 67 TOPS with Jetson Orin Nano or 157 TOPS with Orin NX in packages designed for UAV integration. AIR-series GMSL2 capture carriers support multiple cameras on moving platforms.

The NexVDO SDK provides a capture, analysis, and automation pipeline with native MAVLink and SLAM integration. YUAN uses the same software stack for robotics and agricultural systems.