A Plant Disease Diagnosis System Based on Lesion Correlation

Abstract

The present invention provides a plant disease diagnosis system based on the correlation of disease spots, comprising the following steps: S1, collecting pictures through camera equipment, and uploading the pictures to the cloud server through the network; Scaling and normalization preprocessing, using the CenterNet target detection algorithm to detect lesion areas in the uploaded pictures; S3, according to all lesion areas obtained in step S2, send them to the clustering feature extraction model to obtain a feature set; S4 1. According to the feature set obtained in step S3, calculate the cosine similarity between each feature in the feature set and all features in the database, and perform area weighted summation on all regions, and take the category of the feature with the largest weighted cosine similarity as the diagnosis result . The invention belongs to the technical field of computer vision, replaces the traditional identification method directly based on the whole picture, and realizes high-precision identification of plant diseases and insect pests.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a plant disease diagnosis system based on disease spot correlation. Background technique [0002] There are many vegetations in my country, and agriculture is developed. Agriculture is an important pillar industry. For a long time, due to the harm of pests and diseases, it has caused huge economic losses, which has seriously affected the sustainable development of regional agricultural economy. Diseases and insect pests suffered by vegetation and crops are the main natural disasters in my country. Diagnosis and treatment of diseases and insect pests can not only help increase crop yields and reduce economic losses, but also improve the vegetation coverage rate in my country. However, there are so many types of plant diseases and insect pests that it is difficult for ordinary people to make an accurate diagnosis of diseased plants only through the disease spots and insects...

AI Technical Summary

Problems solved by technology

Since different plants may suffer from the same pest, there is a correlation between the types of pests and diseases among different plants. However, previous pest recognition algorithms directly diagnose the types of pests and diseases by directly identifying the entire picture, and do not use This correlation is used to improve the accuracy of the algorithm for identifying the types of pests and diseases. Therefore, when encountering plants suffering from pests and diseases that have never been seen before, the model needs to be retrained, which will greatly increase the training cost of the model and the generalization is poor.

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