3D optical scanning video clip of crop canopies on both sides
Central vertical mast elevation and multi-height scan clip
Leaf underside lesion detection and red alert UI clip
Aging rural population and acute labor shortages, with workplace injury risks from harsh patrol and repetitive manual labor.
24-Hour SLAM Autonomous Navigation: 24/7 unmanned navigation in greenhouses and open fields without rail installation (liberation from patrol labor & labor cost reduction)
Uneven crop growth and difficulty determining optimal harvest timing due to extreme heat and rapid environmental changes.
3D Growth Scan & AI Diagnosis: Full life-cycle scanning of flowering and fruiting with 100% ripeness prediction for Grade-A shipments
Delayed detection of early micro-pests and difficulty pinpointing outbreak spots, leading to excessive full-field pesticide spraying.
Early Detection & Pinpoint Spraying: Early identification of micro-lesions on leaf undersides and localized target spraying, cutting pesticide use by 60%
Greenhouse autonomous navigation and overhead wide-angle camera linked patrol illustration
Precision 3D leaf underside scanning and pinpoint target spraying illustration
Harvest crate loading and cold storage transfer illustration
Automated docking station return and unmanned charging illustration
Projects optical beams onto both canopies for precision 3D growth scanning
Central vertical mast elevates to diagnose plants across all crop heights
Real-time under-leaf pest detection triggers red HUD warning coordinates
Pushes zone alerts to mobile apps and suggests eco-friendly control actions
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