Zhongkai University of Agriculture and Engineer

Zaili Chen

Weifeng Huang

Yu Lin Tang

Shaoming Luo

Chaojun Hou

Jiajun Zhuang

Zhenyu Zhong

Lixue Zhu

Huan Lei

Jintian Lin

The present invention relates to a pest monitoring method based on machine vision. The method includes the following steps: arranging a pest trap at a place where pests gather, and setting an image acquisition device in front of the pest trap to acquire an image; identifying a pest in the acquired image, and obtaining a number of pests; extracting multiple suspicious pest images from a region of each identified pest in the image, and determining identification accuracy of each suspicious pest image, if the number of pests is greater than or equal to a preset threshold for the number of pests; and calculating a predicted level of pest damage based on the number of pests and the identification accuracy of each suspicious pest image. The present invention acquires a pest image automatically through the image acquisition device in front of the pest trap.

Pest monitoring method based on machine vision

Growing community of inventors

Guangdong, China

Zaili Chen