Unmanned aerial vehicle pesticide spraying system based on a convolutional neural network chip

Abstract

The invention discloses an unmanned aerial vehicle pesticide spraying system based on a convolutional neural network chip, and relates to the field of intelligent agricultural machinery. The unmannedaerial vehicle pesticide spraying system comprises a mapping photographing unmanned aerial vehicle, a pesticide spraying unmanned aerial vehicle and an unmanned aerial vehicle console, wherein the unmanned aerial vehicle console controls the mapping and photographing unmanned aerial vehicle to map the farmland coordinate information and shoot the crop images, and transmit the information to the unmanned aerial vehicle console, the unmanned aerial vehicle console performs pest and disease judgment processing on the crop images in real time through the convolution neural network chip, and a coordinate positioning technology is adopted to control the pesticide spraying unmanned aerial vehicle to carry out automatic corresponding pest and disease crop spraying, so that the height automation and precision of farmland pesticide spraying are realized, the labor is saved, the pesticide use amount is reduced, and a technical guarantee is provided for green agriculture.

Description

technical field [0001] The invention discloses a pesticide spraying system, which relates to the field of intelligent agricultural machinery, in particular to an unmanned aerial vehicle pesticide spraying system based on a convolutional neural network chip. Background technique [0002] In traditional pesticide spraying, farmers regularly use indiscriminate spraying methods to spray large-scale crops in the farmland. The amount of pesticides used is large, and the treatment of crop diseases and insect pests is not targeted. Although the use of drones or ground pipelines to spray pesticides can save manpower, it will also cause problems such as excessive use of pesticides and non-targeted use. The invention discloses an unmanned aerial vehicle pesticide spraying system based on a convolutional neural network chip. By using information technology and convolutional neural network real-time image recognition technology, real-time identification and processing of crop images by d...

AI Technical Summary

Problems solved by technology

Although the use of drones or ground pipes to spray pesticides can save manpower, it will also cause problems such as excessive use of pesticides and non-targeted use

Images