The Autonomous Mobile Robot (AMR) assists phytosanitary inspectors by performing precise, close-range visual checks of citrus fruits directly inside import warehouses. Equipped with advanced cameras and onboard AI software, the robot navigates around stacked crates and pallet boxes to capture high-resolution images and identify Citrus Black Spot (CBS) and Huanglongbing (HLB) symptoms. Its mobility and sensor reach allow it to inspect areas that are difficult for people to access, reducing manual handling and enabling faster, safer evaluation of imported citrus shipments.
The AMR works autonomously, adapting to the structure of busy inspection environments using advanced perception and localization methods. Once the UAV identifies an area of concern, the robot can move in for detailed scanning, providing close-up imaging to confirm or rule out disease symptoms. Real-time AI analysis helps differentiate CBS and HLB from look-alike abiotic stressors, while automated data upload supports traceability and rapid reporting. By reducing dependence on visual inspections alone and minimizing human workload, the AMR improves the efficiency, accuracy, and consistency of import control procedures, ultimately strengthening early detection and response against invasive citrus pathogens.
