Image Recognition of Stored Grain Pests: Based on Deep Convolutional Neural Network

doi:10.11924/j.issn.1000-6850.casb16110146

Abstract

Abstract: In order to prevent and control the damage caused by stored grain pests, it is of great significance to find an effective way of recognizing stored grain pests with the help of computer. Focusing on the problems of multi-class recognition of stored grain pests based on images, a new image recognition method of stored grain pests based on deep convolutional neural network was proposed. Compared with the traditional ways of stored grain pests recognition, this new method greatly simplified the data preprocessing process, and the accuracy of this new method achieved 97.61%, which was significantly superior to the traditional methods. Therefore, the method of recognizing stored grain pests based on deep convolutional neural network has high practicability as well as the significance of further research and promotion.

CLC Number:

TP391.41

References

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