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Crop disease and pest detection method and system based on computer vision

A computer vision and detection method technology, applied in computer parts, computing, biological neural network models, etc., can solve the problems of low actual recognition rate, poor applicability, and little training data, so as to improve crop yield and shorten discovery. time, and the effect of improving detection efficiency

Active Publication Date: 2021-11-16
SINOCHEM AGRI HLDG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Computer vision disease, insect pest and weed monitoring technology is still in the early stage of development. It has not been used for a long time in agricultural application scenarios, and the training data is small and the classification is not balanced, resulting in a high recognition rate of the model self-test, but in actual application scenarios, the actual recognition rate is low.
Traditional hyperspectral pest identification requires the use of hyperspectral data, which is inconvenient to obtain and not very applicable
The current identification of diseases and insect pests is mostly based on the classification of pictures. It is impossible to accurately determine the location of disease and insect pests, and it is impossible to detect multiple diseases on the same plant at the same time.

Method used

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  • Crop disease and pest detection method and system based on computer vision
  • Crop disease and pest detection method and system based on computer vision
  • Crop disease and pest detection method and system based on computer vision

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Embodiment 1

[0054] figure 1 It is a flowchart of a method for detecting crop diseases and insect pests based on computer vision. Such as figure 1 As shown, the present invention provides a kind of crop disease and insect pest detection method based on computer vision, and described method comprises the following steps:

[0055] S1: Obtain pictures of crops, input the pictures of the crops into the pre-classification model, identify pictures of crops with pests and diseases, and use them as target pictures to be detected;

[0056] S2: Input the target picture to be detected into the detection model for detection, and obtain a target detection result;

[0057] S3: Outputting the target detection result, the target detection result including the type of the pest and the location where the pest occurs in the target picture.

[0058] Preferably, the pre-classification model adopts a residual neural network model, combines the IncoptionNet network structure with the ResNet residual block, an...

Embodiment 2

[0087] figure 2 It is a schematic diagram of a crop disease and pest detection system based on computer vision. Such as figure 2 Shown, the present invention also provides a kind of crop disease and insect pest detection system based on computer vision, and described system comprises:

[0088] The classification module is used to obtain the pictures of crops, input the pictures of the crops into the pre-classification model, identify the pictures of the crops with pests and diseases, and use them as the target pictures to be detected;

[0089] A detection module, configured to input the target picture to be detected into a detection model for detection to obtain a target detection result;

[0090] An output module, configured to output the target detection result, the target detection result including the type of the pest and the location where the pest occurs in the target picture.

[0091] Preferably, the pre-classification model adopts a residual neural network model, ...

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Abstract

The invention relates to a crop disease and pest detection method and system based on computer vision, and belongs to the technical field of computer application. The method comprises the following steps of: S1, acquiring pictures of crops, inputting the pictures of the crops into a pre-classification model, identifying the picture of the crop with diseases and insect pests, and taking the picture as a to-be-detected target picture; S2, inputting the to-be-detected target picture into a detection model for detection to obtain a target detection result; and S3, outputting the target detection result, wherein the target detection result comprises the type of the plant diseases and insect pests and the occurrence position of the plant diseases and insect pests in the target picture. The crop disease and pest detection method effectively improves the detection efficiency of plant diseases and insect pests, shortens the discovery time of the plant diseases and insect pests, and reduces the planting risk of farmers.

Description

technical field [0001] The invention belongs to the field of computer application technology, and in particular relates to a method and system for detecting crop diseases and insect pests based on computer vision. Background technique [0002] Computer vision (Computer vision) refers to the machine vision that uses cameras and computers instead of human eyes to identify, track and measure targets, and further performs image processing, and uses computer processing to become images that are more suitable for human eyes to observe or sent to instruments for detection ;Computer vision is widely used in various fields, such as manufacturing, inspection, document analysis, medical diagnosis, and military, etc. It is an integral part of various intelligent / autonomous systems. [0003] The traditional detection of crop diseases and insect pests is time-consuming and complicated, and is usually limited to offline analysis in the laboratory. In 2016, Zhejiang University used hypersp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06N3/048G06N3/045G06F18/24G06F18/214
Inventor 牛太阳
Owner SINOCHEM AGRI HLDG
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