Method and system for intelligent identification and accurate pesticide spraying using unmanned aerial vehicles
An intelligent identification and drone technology, applied in the field of crops, can solve problems such as pesticide waste, environmental pollution, and inability to achieve spraying effects, and achieve the effect of protecting the ecological environment and reducing waste.
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Embodiment 1
[0048] This example provides a method for intelligent identification and precise spraying of pesticides by drones. The flow chart is as follows figure 1 As shown, it specifically includes the following steps.
[0049] S100: pre-dividing the crop area into multiple sub-intervals for collecting information and spraying respectively.
[0050] To achieve the purpose of precise spraying of pesticides on large-area crops, it is necessary to divide the large-area crops into several sub-intervals for collecting information and spraying them separately, and then manage the crops in each sub-interval.
[0051] S200: Control the reconnaissance UAV to collect images of crops in each sub-interval of the required area, and feed back to the control center.
[0052]After the crops are sprayed with pesticides, there is no need to continue spraying the pesticides for a period of time, that is, there is no need to collect images of the crops in the area. Therefore, the image of the crops in eac...
Embodiment 2
[0063] Based on Embodiment 1, this example provides a system for intelligent identification and precise spraying of pesticides by drones, the principle diagram of which is as follows figure 2 As shown, it includes: a control center 1, a scouting drone 2 and a spraying drone 3, and the scouting drone 2 and the spraying drone 3 are respectively connected to the control center 1 with wireless signals.
[0064] The control center 1 divides the pre-stored crop area into multiple sub-sections, and the control center 1 controls the reconnaissance drone 2 to collect crop images in each sub-section, and the reconnaissance drone 2 feeds back the crop images to the control center 1; the control center 1 It is also used to automatically compare the collected crop images with the pre-stored crop images or pest data of diseases and insect pests to identify whether there are pests and diseases in the collected sub-intervals. If there are, the spraying drone 3 is controlled to spray the corre...
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