	US 12,406,501 B2
	Monitoring and emergency control system for vector psyllid of citrus huanglongbing
Long Yi, Ganzhou (CN); Xingquan Wang, Ganzhou (CN); Jun Zhou, Ganzhou (CN); Aijun Huang, Ganzhou (CN); and Wei Hu, Ganzhou (CN)
Assigned to Gannan Normal University, Ganzhou (CN)
Filed by Gannan Normal University, Ganzhou (CN)
Filed on Jan. 23, 2024, as Appl. No. 18/420,374.
Claims priority of application No. 202310624126.5 (CN), filed on May 30, 2023.
Prior Publication US 2024/0404286 A1, Dec. 5, 2024
Int. Cl. G06V 20/50 (2022.01); A01M 7/00 (2006.01); G05D 1/225 (2024.01); G05D 1/617 (2024.01); G05D 1/656 (2024.01); G06V 10/774 (2022.01); G06V 20/10 (2022.01); G06V 20/40 (2022.01); H04N 7/18 (2006.01); G05D 107/20 (2024.01); G05D 109/25 (2024.01)

CPC G06V 20/50 (2022.01) [A01M 7/0089 (2013.01); G05D 1/225 (2024.01); G05D 1/617 (2024.01); G05D 1/665 (2024.01); G06V 10/774 (2022.01); G06V 20/188 (2022.01); G06V 20/41 (2022.01); H04N 7/181 (2013.01); G05D 2107/21 (2024.01); G05D 2109/254 (2024.01)]

17 Claims

1. 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.