Monitoring and emergency control system for vector psyllid of citrus huanglongbing
AssigneeGannan Normal University
InventorsLong Yi, Xingquan Wang, Jun Zhou, Aijun Huang, Wei Hu
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AssigneeGannan Normal University
InventorsLong Yi, Xingquan Wang, Jun Zhou, Aijun Huang, Wei Hu
Estimating the term…
A monitoring and emergency control system for vector psyllid of citrus huanglongbing (HLB) is disclosed. The system includes a video acquisition module, an image recognition module, a control console, an early warning module and an unmanned aerial vehicle (UAV)-based flight prevention module. The video acquisition module acquires images by using 360-degree dead-angle-free cameras, the cameras are arranged at a plurality of points at a periphery and interior of an orchard, and each camera is numbered. The video acquisition module acquires real-time images, and transmits the real-time images to the image recognition module in real time for recognition and determination. The control console determines whether to send out warning information to an orchard manager and a flight prevention instruction according to a feedback result. The UAV-based flight prevention module receives the instruction, and then carries a pesticide box to take off to a region to kill the psyllid by applying pesticides.
A monitoring and emergency control system for citrus psyllid, comprising a video acquisition module, an image recognition module, a control console, an early warning module and an unmanned aerial vehicle (UAV)-based flight prevention module, wherein the video acquisition module acquires real-time images of a periphery and interior of an orchard, and transmits the real-time images to the image recognition module in real time, the image recognition module recognizes and determines the acquired images on the basis of an image recognition training sample set, and feeds back a recognition result to the control console, the control console determines whether to send out early warning information and a flight prevention instruction according to a feedback result, and the UAV-based flight prevention module receives the instruction, then carries a pesticide box to take off to a region, in which the psyllid is found, to kill the psyllid by applying pesticides.
Dependencies are inferred from the claim text.