Pesticide spraying platform based on image acquisition

Abstract

The invention relates to a pesticide spraying platform based on image acquisition. The pesticide spraying platform based on image acquisition comprises a positioning subsystem, an image processing subsystem, a pesticide spraying subsystem and a computer control subsystem, wherein the positioning subsystem is used for positioning an unmanned aerial vehicle to a target spraying area; the image processing subsystem is used for collecting images for the crop growth conditions of the target spraying area and processing the collected crop images; the computer control subsystem is connected with the positioning subsystem, the image processing subsystem and the pesticide spraying subsystem respectively, and used for controlling positioning of the positioning subsystem and controlling pesticide spraying of the pesticide spraying subsystem according to an image processing result of the image processing subsystem. By means of the pesticide spraying platform based on image acquisition, pesticides can be sprayed efficiently within a large area, the pesticide spraying amount can be controlled adaptively according to the crop growth condition of the spraying area, and convenience is brought to control and management of the agricultural department.

Description

technical field [0001] The invention relates to the field of pesticide spraying management, in particular to a pesticide spraying platform based on image collection. Background technique [0002] Whether the pesticide spraying is effective directly determines whether the crops can grow normally and whether the cultivators can get a bumper harvest. However, the application of pesticides will also bring adverse consequences such as the deterioration of the farmland environment and the physical and mental damage of the operators. Therefore, how to realize the appropriate spraying of pesticides is one of the problems urgently needed to be solved by agricultural management departments in various places. [0003] In the prior art, the spraying of pesticides mainly adopts the manual mode. Based on the observed crop growth and the operator’s historical experience, the spray dose for each farmland position is determined. In this way, the requirements for the operator are relatively ...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, the spraying of pesticides mainly adopts the manual mode. Based on the observed crop growth and the operator’s historical experience, the spray dose for each farmland position is determined. In this way, the requirements for the operator are relatively high, and the achieved It is also an effect of fuzzy control. At the same time, manual mode spraying is not suitable for fast operations on large-scale farmland, and it will also cause harm to the health of operators.

Images