Capsicum leaf disease detection method based on improved AlexNet

Abstract

The invention relates to a pepper leaf disease detection method based on improved AlexNet, and the method comprises the steps: building a disease data set, carrying out the data enhancement of the disease data set, carrying out the disease type classification of the image data of the disease data set, marking a corresponding label, building a model data set, and carrying out the detection of a pepper leaf disease. Dividing image data of the model data set into a training set, a verification set and a test set in proportion; secondly, constructing a convolutional neural network model, performing feature extraction on an AlexNet model in the convolutional neural network model, setting a multi-scale convolution kernel for a first convolutional layer, removing a full connection layer, replacing the full connection layer with a global average pooling layer, adding a BN layer into each convolutional layer, then setting hyper-parameters, and obtaining a multi-scale convolution kernel; and training the AlexNet model by using the training set. According to the improved AlexNet-based pepper leaf disease detection method provided by the invention, the model can be reduced, the identification precision can be improved, and the detection speed can be improved.

Description

technical field [0001] The present invention generally relates to a disease detection method, in particular to a pepper leaf disease detection method based on improved AlexNet. The invention belongs to the technical field of image recognition. Background technique [0002] my country is the world's largest producer and consumer of peppers, and the sown area accounts for about 40% of the world's pepper sown area, which has high economic value. However, diseases often occur in the growth of peppers, and most of them start in the leaves and spread to the whole plant, thus affecting the yield and quality of peppers and causing economic losses. Therefore, accurate and timely identification of pepper leaf disease types is particularly important for pepper disease control. [0003] The traditional pepper disease detection method is mainly based on the visual observation and empirical judgment of agricultural workers. This method is slow, subjective, inefficient and prone to misdi...

AI Technical Summary

Problems solved by technology

However, the characterization of crop diseases is complex and diverse, and specific disease characteristics cannot fully reflect the disease information of crops, resulting in low recognition accuracy and poor generalization effect

In addition, image recognition technology also has problems such as large number of model parameters and difficulty in deploying in mobile devices.

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