Diseased Fish Detection in the Underwater Environment Using an Improved YOLOV5 Network for Intensive Aquaculture

Diseased Fish Detection in the Underwater Environment Using an Improved YOLOV5 Network for Intensive Aquaculture

In intensive aquaculture, the real-time detection and monitoring of common infectious disease is an important basis for scientific fish epidemic prevention strategies that can effectively reduce fish mortality and economic loss. However, low-quality underwater images and low-identification targets p...

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Bibliographic Details
Main Authors: Zhen Wang, Haolu Liu, Guangyue Zhang, Xiao Yang, Lingmei Wen, Wei Zhao
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Fishes
Subjects:
real-time
epidemic prevention
algorithm
target detection
convolution kernel group
Online Access:https://www.mdpi.com/2410-3888/8/3/169

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https://www.mdpi.com/2410-3888/8/3/169

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