Method for identifying iridovirus damage grade of micropterus salmoides based on machine vision assistance

By using machine vision-assisted technology to collect surface damage data of largemouth bass, divide the damage area and calculate the comprehensive damage score, the problem of strong subjectivity of traditional assessment methods was solved, and a scientific quantitative assessment of the damage level of iridovirus was achieved, which improved the scientific nature of disease management and the efficiency of prevention and control.

CN120761383AActive Publication Date: 2025-10-10FRESHWATER FISHERIES RES CENT OF CHINESE ACAD OF FISHERY SCI +2
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Patent Information

Application Number
CN202510901626.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-01
Publication Date
2025-10-10
Estimated Expiration
2045-07-01

AI Technical Summary

Technical Problem

Traditional methods make it difficult to standardize and objectively assess the extent of damage caused by iridovirus in largemouth bass, resulting in difficulty in disease prevention and control and high mortality after infection.

Method used

Machine vision-assisted technology was used to collect surface injury data of largemouth black bass, divide the injury areas, and calculate the comprehensive injury score through data standardization and PCA dimensionality reduction to construct an injury level assessment system.

Benefits of technology

A scientific and quantitative assessment of the damage level of iridovirus in largemouth bass has been achieved, which has improved the scientific nature of disease management and the efficiency of prevention and control, and reduced aquaculture losses.

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Abstract

The invention provides a method for identifying the iridovirus damage grade of micropterus salmoides based on machine vision assistance, and belongs to the technical field of aquatic product infection identification. According to the method, the damage degree of micropterus salmoides infected with iridovirus is measured in a standardized mode, early-stage micropterus salmoides body surface damage data are analyzed based on visual machine assistance, body surface damage areas are divided, the body surface damage number and damage area are measured, individual comprehensive damage scores are calculated through data standardization and PCA dimension reduction, and body surface damage grades are constructed. And a scientific basis is provided for disease management of the micropterus salmoides.
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Citation Information

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