Plant disease and insect pest identification method and system based on deep learning

A technology of deep learning and recognition methods, applied in the field of computer vision, can solve problems such as small amount of data, failure to meet model training requirements, difficulty in model training, etc., and achieve the effect of improving accuracy
CN110502987AInactive Publication Date: 2019-11-26SHANDONG AGRICULTURAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
SHANDONG AGRICULTURAL UNIVERSITY
Publication Date
2019-11-26
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention discloses a plant disease and insect pest identification method and system based on deep learning. The plant disease and insect pest identification method comprises the steps: (1) receiving an original training image which comprises various types of plant disease and insect pest image data; (2) preprocessing based on an image preprocessing mode selected by a user for the training image; (3) inputting the preprocessed image into a deep learning model according to disease and pest categories, wherein the deep learning model comprises a convolution layer, a residual attention mechanism model and a full connection layer which are connected in sequence; and visualizing the output of the residual attention mechanism model to serve as a new training image, and returning to the step(2); (4) training a deep learning model based on all the training images; and (5) identifying diseases and insect pests. According to the invention, targeted enhancement and expansion processing are carried out on the small data set by using a method of combining data enhancement and an attention mechanism, so that the plant disease and insect pest identification accuracy can be effectively improved.
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Description

technical field

[0001] The invention relates to the technical field of computer vision, in particular to a method and system for identifying plant diseases and insect pests based on deep learning. Background technique

[0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art.

[0003] my country has been a big agricultural country since ancient times. At present, with the increasing demand for food in our country, the scale of agriculture is constantly expanding, but the insufficient control of plant diseases and insect pests has become more and more revealed. According to statistics, in recent years, my country has an average annual occurrence of billions of plant diseases and insect pests. Mu times, tens of millions of tons of grain loss will be caused every year. One aspect of causing such a huge time is that it is impossible to accurately distinguish plant diseases and insec...

Claims

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