Current Research
Design of an Agricultural Robot for Beekeeping Management
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Design of a mobile intelligent device equipped with beehives and beekeeping equipment.
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Development of motion control algorithms by combining with speed and position feedback signals for auxiliary work of beekeeping.
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Development of a coupling mechanism for attaching and detaching the moving mechanism (vehicle) and the loading platform.
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Design of transport planning and tracking algorithms for beekeeping management.
Improved Position Estimation Algorithm of Agricultural Mo-bile Robots Based on Multi-sensor Fusion and Autoencoder Neural Network
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The agricultural mobile robot based on multi-sensor fusion will play an important role in the field of positioning and navigation, and can provide high-precision real-time position prediction in the case of interference of satellite positioning signals.
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Agricultural mobile robots based on multi-sensor fusion will play an important role in the field of positioning and navigation. It can provide high precision real-time position prediction in the case of interference of satellite positioning signals.
Development of Multiple UAVs Collaborative Driving System for Improving Field Phenotyping
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Design of multiple unmanned aerial vehicles capable of real-time independent control
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Development of a virtual environment capable of simulating the flight of multiple unmanned aerial vehicles
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Development of multiple UAV collaborative driving algorithm and collision avoidance algorithm
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3D models of the crop with Structure-from-Motion based on a multiple-view stereo algorithm
Development of Artificial Intelligence (AI) Model to Predict Downy Mildew Disease on Cabbage
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Utilization of UAV and hyperspectral camera for data acquisition
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Development of AI model based on hyperspectral image data
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Early detection of downy Mildew disease on cabbage
Development of UAV-based Precise Variable Spraying Control System
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Construction of a precise spraying mathematical model through the correlation between factors such as location (spray altitude), speed (flight and wind), and type of pesticide.
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Development of independent precision variable controller spray for drone.
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Optimization of pest and crop disease control by drone spraying system.
Development of Autonomous Navigation for Orchard Spraying Machine
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Development of autonomous navigation for spraying task in orchard field
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Development of computational methods and navigation control strategies for Unmanned Ground Vehicle (UGV) in tree-row based field
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Utilization of several navigation sensors (GNSS, 2D LIDAR, 3D LIDAR, and Camera) for environmental information perception
UAV-UGV Collaborative system for Improving Plant Phenotyping
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Design of a real-time independent integrated UGV and UAV control system for plant phenotyping task
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Constructing a virtual environment capable for simulating UGV and UAV collaboration tasks
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The development of a collaborative driving algorithm for UGV and UAV for high-throughput plant phenotyping
