There are many problems in using convolutional neural network to detect pepper diseases and insect pests,such as large number of parameters,large amount of calculation and too long inference time.This paper proposes an improved lightweight neural network based on MobileNet-V2,replacing all activation functions in the BN layer of MobileNet-V2 with Leaky ReLU,retaining more effective positive and negative information in the feature map to improve performance and reduce Computational complexity and enhanced model robustness.After comparing models such as VGG16,ResNet34 and MobileNet-V2 on the public pepper diseases and insect pests data set,the improved MobileNet-V2 showed higher accuracy and fewer parameters.Compared with the original MobileNet-V2,the accuracy increased by 4%,and compared with VGG16 and ResNet34,the parameters of the two models dropped by 97%and 87%respectively.It can realize real-time pest and disease detection on mobile devices and provide efficient and convenient solutions.
pepper pests and diseasesVGG16MobileNet-V2ResNet34Leaky ReLU