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Method, device, system and storage medium for identifying crop diseases, insect pests and weeds

A technology for identification of diseases, pests and weeds, applied in the field of image processing, can solve problems such as large identification errors, and achieve the effects of improving the identification rate, reducing the risk of disease, and improving the identification rate of pests and diseases

Active Publication Date: 2022-04-15
SINOCHEM AGRI HLDG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this identification method has some shortcomings: the edge features of different types of pests are relatively close, especially the shape and body of some pest larvae are very close, which is easy to cause large identification errors

Method used

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  • Method, device, system and storage medium for identifying crop diseases, insect pests and weeds
  • Method, device, system and storage medium for identifying crop diseases, insect pests and weeds
  • Method, device, system and storage medium for identifying crop diseases, insect pests and weeds

Examples

Experimental program
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Effect test

Embodiment 1

[0074] see figure 1 , a schematic diagram of a method for identifying crop diseases, insect pests and weeds provided by the embodiment of the present application, as shown in figure 1 As shown, the method includes steps S101 to S104:

[0075] S101. Acquiring images of crops;

[0076] S102. Classify the crop images;

[0077] S103. Perform feature detection on the crop image to determine a frame image;

[0078] S104. Identify the framed image;

[0079] Wherein, the above classification includes images that do not belong to crops and images that belong to crops, and the framed images are images of crops that include diseases, insect pests and weeds.

[0080] In the embodiment of the present invention, the combination of detection and identification with classification and identification can not only solve the identification of a single typical symptom, but also better solve the identification of complex symptoms with a high incidence in actual scenarios, ensuring Under the i...

Embodiment 2

[0119] Based on the same inventive concept, the embodiment of the present invention also provides a device for identifying crop diseases, insect pests and weeds, such as Figure 5 As shown, the device includes:

[0120] The acquisition and classification module 501 is configured to acquire images of crops and classify the images of crops;

[0121] The detection module 502 is configured to perform feature detection on the crop image to determine a framed image;

[0122] An identification module 503, configured to identify the framed image;

[0123] Wherein, the classification includes images that do not belong to crops and images that belong to crops;

[0124] The framed image is an image of crops including pests and weeds.

[0125] It should be noted that the acquiring and classifying module 501 provided in this embodiment can realize all the functions included in steps S101 and S102 in the first embodiment, solve the same technical problem, and achieve the same technical e...

Embodiment 3

[0138] Based on the same inventive concept, an embodiment of the present invention also provides a system for identifying crop diseases, insect pests and weeds, such as Figure 6 As shown, the device includes:

[0139] The user terminal 601 is configured to collect images of crops, upload the images of crops to a server of the identification system for diseases, insect pests and weeds through a network connection, and receive identification results and corresponding control plan information from the identification system server for diseases, insect pests and weeds;

[0140] Diseases, insects and weeds database 603, configured for the corresponding prevention and control schemes of diseases, insects and weeds;

[0141] The pest identification system server 602 is configured to receive the crop image uploaded by the user terminal, classify the crop image, perform feature detection on the crop image, determine a frame image, and frame image for recognition;

[0142] Wherein, th...

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PUM

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Abstract

The application discloses a method, device, system and storage medium for identifying crop diseases, insect pests and weeds, which are used to improve the efficiency and accuracy of identifying crop diseases and insect pests, and provide targeted prevention and control schemes. The method for processing images of crop diseases and insect pests disclosed in the present application includes: acquiring crop images; classifying the crop images; performing feature detection on the crop images to determine framed images; and identifying the framed images. The present application also provides a crop disease and insect pest image processing device, system and storage medium.

Description

technical field [0001] The present application relates to the field of image processing, in particular to a method, device, system and storage medium for identifying crop diseases, insect pests and weeds. Background technique [0002] In the field of agricultural planting, pest control is an inescapable task. The first step in pest control is the accurate identification and judgment of pest species. It is difficult for ordinary agricultural workers to accurately judge the types of pests at the first time due to the lack of professional knowledge and information. In the prior art, based on the pictures of pests and diseases taken by users in the image recognition technology, the pests or the shape of the disease are recognized through the edges of the pests or leaves of the diseases and pests in the photos, and then the shape features are matched with the pest database to identify the types of pests and diseases. Agricultural workers provide reference opinions on pest contr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/10G06V10/764G06V10/77G06V10/22G06V10/82G06N3/04G06N3/08G06Q50/02
CPCG06N3/08G06Q50/02G06V10/22G06N3/045G06F18/213G06F18/2415
Inventor 蔡永维孟婕黄海强
Owner SINOCHEM AGRI HLDG