Precision farming from the air.

Challenge

Crop management still leans heavily on human labour. Pesticide application, monitoring, and health assessment are slow and imprecise when done by hand — and some of the hardest work is in the hardest places. Hillside plum orchards, dense stands of sorghum, red beans, and pineapples: difficult terrain and dense planting make traditional methods resource-intensive and often impractical.

Solution

YUAN's drone technology, integrated with advanced AI, turns those constraints into a flight plan. Equipped with modern sensors and AI algorithms, the drones identify and analyse crops from sorghum and red beans to plum trees on hillside terrain. The AI goes beyond recognition into detection and segmentation — assessing crop health, counting plants, and calculating area coverage — so pesticide application can be targeted precisely where it is needed, and monitoring reaches every row.

Key benefits

Precision comes first: AI-driven flight delivers pinpoint accuracy in pesticide distribution, protecting yield while minimising waste and environmental impact. The analysis is richer too — distinguishing crop types, scoring plant health, and producing exact counts and coverage figures for data-driven decisions. Drones navigate challenging terrain and dense fields with ease, cutting the time and labour of crop management dramatically, while targeted application reduces both cost and the health risks of chemical overuse. And the platform extends beyond spraying: the same AI-equipped aircraft can be programmed for irrigation management, soil analysis, and yield prediction — a comprehensive toolkit for modern agriculture.