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Cucumber disease identification method based on convolutional neural network

A convolutional neural network and disease identification technology, which is applied in the field of cucumber disease identification based on convolutional neural network, can solve the problems of time-consuming manual detection, labor-intensive recognition accuracy, complex models, etc., achieve high accuracy, expand the scope of application, Good recognition effect

Pending Publication Date: 2020-05-19
XIJING UNIV
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Problems solved by technology

[0003] In order to solve the above-mentioned deficiencies in the prior art, the object of the present invention is to provide a method for identifying cucumber diseases based on convolutional neural networks, which solves the problems of time-consuming and labor-intensive traditional manual detection and the low recognition accuracy and complex models of existing machine vision methods. And other issues

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  • Cucumber disease identification method based on convolutional neural network
  • Cucumber disease identification method based on convolutional neural network
  • Cucumber disease identification method based on convolutional neural network

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Embodiment Construction

[0021] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0022] see figure 1 , a method for identifying cucumber diseases and insect pests based on convolutional neural network, including the following steps:

[0023] Step 1: Use a digital camera or video camera to collect images of cucumber leaf diseases in vegetable greenhouses, scale the resolution of the collected images to 256×256, and then label the images according to the disease category to obtain the original cucumber with sample labels pest and disease datasets;

[0024] The original cucumber disease and insect pest data set described in step 1 includes 6 cucumber diseases such as cucumber target spot, powdery mildew, brown spot, black spot, downy mildew, and anthracnose, and the number of images of each disease is 300. 1600 images.

[0025] see figure 2 , Step 2: Perform data augmentation on the original pest and disease dataset with sample ...

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Abstract

The invention discloses a cucumber disease and pest identification method based on a convolutional neural network, and the method comprises the steps: firstly carrying out the preprocessing of a collected cucumber disease image through employing a multi-feature fusion method, and removing the complex background and other noises of the image; constructing a cucumber disease data set trained by a convolutional neural network (CNN) by using a data enhancement method; and finally, constructing a disease identification classifier based on a convolutional neural network (CNN) by using the cucumber disease and pest data set, and performing model training by using a gradient descent algorithm (SGD). According to the invention, cucumber disease identification can be rapidly and accurately realized,and the method can be transplanted to various cucumber disease and insect pest identification instruments.

Description

technical field [0001] The invention relates to the technical field of agricultural disease and insect pest identification, in particular to a method for identifying cucumber diseases based on a convolutional neural network. Background technique [0002] In recent years, due to air pollution and environmental deterioration, the scale of vegetable diseases has become larger and more serious, and the economic losses caused by diseases of vegetable agricultural products to my country are as high as tens of billions of yuan every year. Wherein cucumber, as a kind of vegetable widely welcomed by people, also due to the influence of various diseases such as anthracnose, powdery mildew, downy mildew, has caused serious damage to its yield and quality. In order to reduce the impact of pests and diseases on agricultural products such as fruits and vegetables, timely and accurate judgment of the types of pests and diseases is a key step. At present, the detection of pests and disease...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/20G06N3/045G06F18/251
Inventor 张玉成王振郭建新聂文都姚永康
Owner XIJING UNIV