Agricultural unmanned aerial vehicle pesticide spraying system and method based on machine vision

Abstract

The invention belongs to the technical field of unmanned aerial vehicles, and particularly relates to an agricultural unmanned aerial vehicle pesticide spraying system and method based on machine vision. The system comprises an unmanned aerial vehicle and control equipment; the unmanned aerial vehicle carries an image acquisition module, a wind speed and direction detection sensor, a flight module, a first information connection module, a spraying module, a first rechargeable power supply, a horizontal angle detection module and a power supply control module; and the control equipment is provided with a second information connection module, a central analysis module, a touch display module, an information storage module and a second rechargeable power source. The system is reasonable in design, after a worker manually sketches a pesticide spraying area, the unmanned aerial vehicle automatically flies according to the optimal flight route and sprays crops, the workload of the worker is reduced, and the working efficiency is improved; and under the influence of external natural wind, the flying position of the unmanned aerial vehicle can be automatically adjusted, so that the pesticide spraying position is located in a preset track, and the spraying accuracy is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of unmanned aerial vehicles, and in particular relates to an agricultural unmanned aerial vehicle spraying system and method based on machine vision. Background technique [0002] According to the application field, UAV can be divided into military and civilian. In terms of military use, UAVs are divided into reconnaissance aircraft and target aircraft. In terms of civilian use, drones + industry applications are the real rigid needs of drones; currently, they are used in aerial photography, agriculture, plant protection, micro selfies, express delivery, disaster relief, wildlife observation, infectious disease monitoring, surveying and mapping, news reports, power patrols, etc. Inspection, disaster relief, film and television shooting, romance and other fields. Nowadays, in the field of agriculture, staff are required to spray pesticides on large areas of farmland. In order to save the workload of staff, d...

AI Technical Summary

Problems solved by technology

In terms of civilian use, drones + industry applications are the real rigid needs of drones; currently, they are used in aerial photography, agriculture, plant protection, micro selfies, express delivery, disaster relief, wildlife observation, infectious disease monitoring, surveying and mapping, news reports, power patrols, etc. Inspection, disaster relief, film and television shooting, romance and other fields. Nowadays, in the field of agriculture, staff are required to spray pesticides on large areas of farmland. In order to save the workload of staff, drones are often equipped with spray Medicine module, the spraying module carries the pesticide that needs to be sprayed, and the staff controls the flight of the drone through the control device. When the drone is flying on the farmland, the control spraying module sprays the pesticide downward, which requires the staff to manually control the drone Spraying takes a long time during the spraying process, and the workload of the staff is relatively large, and during the spraying process, the staff manually controls the flight trajectory of the drone throughout the process. , it is easy to deviate the flight trajectory, so that some crops are not sprayed or sprayed multiple times, thus affecting the spraying efficiency of pesticides, and during the flight of the drone, it is easy to cause deviations in the spraying position of pesticides due to the influence of external natural wind. It is also easy to leave some crops unsprayed or sprayed multiple times

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