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Crop disease and insect pest leaf identification system, identification method and disease and insect pest prevention method

A preventive method and technology of pests and diseases, applied in neural learning methods, character and pattern recognition, biological neural network models, etc., can solve the problems of low recognition rate, reduce environmental pollution, detect and warn agricultural pests and diseases in real time, and ensure production Effect

Inactive Publication Date: 2021-10-01
HARBIN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of low recognition rate of the existing intelligent recognition method of crop diseases and insect pests applied in the dynamic environment, and propose a kind of crop diseases and insect pests leaf identification system, identification method and disease and insect pest prevention method

Method used

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  • Crop disease and insect pest leaf identification system, identification method and disease and insect pest prevention method
  • Crop disease and insect pest leaf identification system, identification method and disease and insect pest prevention method
  • Crop disease and insect pest leaf identification system, identification method and disease and insect pest prevention method

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specific Embodiment approach 1

[0081] A method for identifying leaves of crop diseases and insect pests and preventing diseases and insect pests in this embodiment, such as Figure 6 As shown, the method is realized through the following steps:

[0082] The crawler-shaped lamp lure device is used to collect real-time images of insects in the crop growth environment, and the embedded image preprocessing technology is used to preprocess the images. Based on the information of the color characteristics and texture characteristics of the preprocessed insect images, it is possible to judge whether the crops are possible. Infested by diseases and insect pests, if so, proceed to the next step of leaf image recognition and crop disease and insect pest prevention; if not, do not perform preventive operations, and return to the initial step;

[0083] Steps for leaf image recognition and crop pest prevention:

[0084] Collect the images of the leaves of crop diseases and insect pests, and transmit them to the process...

specific Embodiment approach 2

[0088] The difference from Embodiment 1 is that in this embodiment, a method for identifying leaves of crop diseases and insect pests and preventing pests and diseases, the step of using a crawler-shaped light-lure device to collect images of insects in the crop growth environment in real time is to use lights to lure pest images to collect equipment, call the V4L2 image programming interface and its extension interface of Linux, complete the selection of image acquisition equipment, the steps of the resolution setting of the image acquisition equipment; after that, turn on the V4L2 image stream acquisition switch, thereby completing the acquisition of images;

[0089] Embedded image processing technology for attracting insects with lamps realizes automatic collection and feature extraction of pest images, so that people can monitor the pests around crops without leaving home, find out the disasters of crops early, implement rescue plans in time, and judge whether it is right or...

specific Embodiment approach 3

[0090]The difference from Embodiment 1 or Embodiment 2 is that in this embodiment, a method for leaf identification and pest prevention of crop diseases and insect pests, the step of embedded image preprocessing mainly includes: image Ostu adaptive threshold extraction, image two Operations such as valueization, expansion and corrosion, image contour extraction, image hole filling, image segmentation, and image rotation, separate individual insects, and divide individual insects into sub-pictures; thus extract features from each insect sub-picture, including color features and textures feature.

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Abstract

The invention discloses a crop disease and insect pest leaf identification system, an identification method and a disease and insect pest prevention method, and belongs to the field of image identification. To solve problems in the prior art, the invention discloses a crop disease and insect pest leaf identification system, an identification method and a disease and insect pest prevention method. The method comprises the steps: obtaining color feature and texture feature information of an insect image through an embedded image preprocessing technology, and judging whether the insect is likely to be damaged by pests or not; acquiring an image of a crop disease and insect pest leaf, carrying a pytorch framework platform, and training a convolutional neural network by using the acquired image of the crop disease and insect pest leaf in combination with a deep residual network and an Adam algorithm; using the trained convolutional neural network to test a to-be-identified leaf test set image which may suffer from diseases and insect pests; carrying out disease classification on the identified leaves subjected to disease and pest damage, and taking prevention measures. The intelligent identification rate of crop diseases and insect pests is improved.

Description

technical field [0001] The invention relates to a system for identifying leaves of crop diseases and insect pests, an identification method and a method for preventing diseases and insect pests. Background technique [0002] The identification of crop diseases and insect pests in my country mainly relies on experts to diagnose on the spot. This method has low efficiency and poor timeliness, and is far from meeting the needs of my country's agricultural development. Farmers in our country are not capable of receiving scientific and technological knowledge, and cannot grasp the occurrence and development of crop diseases and insect pests. They often miss the best control period. polluted environment. [0003] The research on intelligent identification of pests and diseases started late. Due to technical and cost issues, it is currently mainly limited to laboratories, and it is difficult to apply it to farmland. One of the tasks of the development of food science and technolo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/46G06K9/62G06N3/04G06N3/08G06T3/60G06T5/30G06T7/11G06T7/136G06T7/41
CPCG06T7/41G06N3/08G06T7/11G06T7/136G06T5/30G06T3/60G06T2207/10024G06T2207/20081G06T2207/20084G06T2207/30188G06N3/045G06F18/2431
Inventor 张旭辉王琳琳
Owner HARBIN UNIV OF SCI & TECH