Apple Tree Insect Pest and Plant Disease Detection System Based on Deep Learning
Insect pest and plant disease have a serious impact on apple yield.It is of positive significance to improve apple yield to use deep learning technology to realize automatic identification of apple tree insect pest and plant disease.This paper builds an apple tree insect pest and plant disease detection system based on deep learning through EasyDL platform.After data set sorting,model training and optimization,model deployment and other steps,the system realizes automatic identification of five kinds of apple leaf insect pests and plant diseases.The ex-perimental results show that the Top1 accuracy of the model reaches 98.98%,the F1-score reaches 98.98%,the precision reaches 99.00%,the recall reaches 98.96%,thus the system achieves the expected effect.
deep learningappleinsect pest and plant diseaseEasyDL
NETL
NSTL
万方数据
