A method and a system for detecting wheat scab based on deep mixing

Abstract

The invention discloses a method for detecting wheat scab based on deep mixing. The method comprises the following steps: S1, collecting the hyperspectral image pixel of wheat and wheat ear, and undersampling the hyperspectral image pixel of wheat and wheat ear to solve the problem of unbalanced data set, so as to obtain target data; S2, remodeling the two-dimensional image of the target data to obtain a gray-scale image, and preprocessing the gray-scale image based on the gray-scale image; S3, training the data by using a deep convolutional loop hybrid neural network based on the preprocesseddata; S4, analyzing the classification effect of the deep convolutional loop hybrid neural network model based on the training results. The invention utilizes the hyperspectral imaging technology tocarry out early rapid and non-destructive detection of wheat scab, and improves the accuracy of the regional classification result of the tested wheat.

Description

technical field [0001] The invention relates to the field of diagnostic methods for wheat scab, in particular to a detection method and system for wheat scab based on deep mixing. Background technique [0002] Wheat scab is an important disease of wheat. It is mainly distributed in humid and semi-humid regions, especially in temperate regions with humid and rainy climate. It has always been one of the most serious diseases in the wheat regions south of the Huaihe River and the middle and lower reaches of the Yangtze River in my country. . In recent years, the wheat head blight in Anhui has advanced from the Huainan wheat area in the frequent occurrence area to the Huaibei wheat area. Improper prevention and control of wheat scab infection will result in reduced yields, and severe crop failure, resulting in serious yield loss and quality impact on production. When wheat is infected by fungi, it will produce a variety of mycotoxins, the most serious of which is deoxynivalenol...

AI Technical Summary

Problems solved by technology

[0005] At this stage, there are three problems in the diagnosis of wheat scab at home and abroad: 1. Plant protection experts do not have enough time to diagnose and treat all the problems that arise in agricultural activities; 2. There are certain defects in the traditional methods of diagnosis of crop diseases. 3. The current mainstream disease detection methods usually have problems such as locality, hysteresis, destructiveness and indirectness.

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