Fruit tree pest identification method and system based on convolutional neural network

Abstract

The invention belongs to the technical field of computer vision application, and particularly relates to a fruit tree disease and insect pest recognition method and system based on a convolutional neural network, and the method comprises the steps: obtaining a fruit tree image, inputting the fruit tree image into a trained fruit tree disease and insect pest recognition model, and obtaining a fruit tree disease and insect pest recognition result; the fruit trees are treated according to pest and disease damage results; the fruit tree pest recognition model comprises a segmentation model and a convolutional neural network; wherein the segmentation model is used for segmenting fruit leaves and fruits in the fruit tree image to obtain a fruit image and a fruit leaf image; the convolutional neural network is used for identifying plant diseases and insect pests of the fruit trees; according to the invention, a deep learning method is adopted to carry out pest and disease damage identification on the citrus, the system can provide pest and disease damage information for citrus planting personnel, the planting personnel can take measures in time to treat pest and disease damage, and the yield and quality of the citrus are effectively improved.

Description

technical field [0001] The invention belongs to the technical field of computer vision applications, and in particular relates to a method and system for identifying fruit tree diseases and insect pests based on a convolutional neural network. Background technique [0002] Citrus is a fruit that can be seen everywhere in daily life. It has a fragrant smell, delicious taste and rich nutrition, and is very popular among consumers. However, the traditional citrus industry is still at the level of visual inspection, manual control and intervention in the prevention and control of diseases and insect pests. At present, major citrus planting parks mainly rely on manual screening of fruit tree seedlings, pruning branches regularly every year, ploughing the park, and cleaning young insect-eaten fruits. , waste a lot of time and energy and increase the cost of human and material resources. SUMMARY OF THE INVENTION [0003] In order to solve the above problems existing in the prior...

AI Technical Summary

Problems solved by technology

However, the traditional citrus industry still stays at the level of visual inspection, manual control and intervention in terms of pest control. At present, major citrus plantations mainly rely on manual screening of fruit saplings, regular pruning of branches, plowing of the park, and cleaning of insect-eaten young fruits every year. , wasting a lot of time and energy, increasing the cost of manpower and material resources

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