| 注册
首页|期刊导航|农业机械学报|水产养殖中水质与鱼类行为双向映射模型研究

水产养殖中水质与鱼类行为双向映射模型研究

魏天娇 胡祝华 范习禹

农业机械学报2024,Vol.55Issue(3):290-299,10.
农业机械学报2024,Vol.55Issue(3):290-299,10.DOI:10.6041/j.issn.1000-1298.2024.03.029

水产养殖中水质与鱼类行为双向映射模型研究

Construction of Bidirectional Mapping Model between Water Quality and Fish Behavior in Aquaculture

魏天娇 1胡祝华 1范习禹1

作者信息

  • 1. 海南大学信息与通信工程学院,海口 570228
  • 折叠

摘要

Abstract

In aquaculture,there is an inseparable mutual mapping relationship between water quality and fish behaviors.In the past,monitoring was more biased towards one-way mapping,which generally indicated the water quality through fish behaviors.In order to solve the problem of misjudgment and lag only by fish behaviors,a bidirectional mapping model between fish behaviors and water quality was constructed based on random forest.The bidirectional mapping model can not only provide more information to improve the accuracy of prediction,but also improve the reliability of the model through mutual verification.Firstly,YOLO v7 was improved by introducing a deformable convolution module,and the position of fish in the video was detected by using the improved model,and then the swimming parameters of fish were quantified by the coordinates of the front and back frames.Then,the collected fish swimming parameters and the corresponding water quality parameters were taken as inputs,the random forest model was used for classification and regression,and the specific numerical values of fish swimming parameters and water quality parameters and the abnormal level of indicators were predicted respectively,so as to obtain a bidirectional mapping relationship.In order to show the generalization ability of the model,experiments were carried out under two data sets:Li'an Port and Xincun Port Fishing Ground.The experimental results showed that the proposed method can realize the bidirectional mapping between fish behaviors and water quality.Among them,the average accuracy of classification experiment can reach 90.947%,and the average value of regression experiment determination coefficient R2 can reach 0.801.

关键词

智慧养殖/鱼类行为/水质/深度学习/随机森林/双向映射模型

Key words

intelligent farming/fish behavior/water quality/deep learning/random forest/bidirectional mapping model

分类

农业科技

引用本文复制引用

魏天娇,胡祝华,范习禹..水产养殖中水质与鱼类行为双向映射模型研究[J].农业机械学报,2024,55(3):290-299,10.

基金项目

国家自然科学基金项目(61963012)、国家重点研发计划项目(2022YFD2400504)和海南省种业实验室项目(B23H10004) (61963012)

农业机械学报

OA北大核心CSTPCD

1000-1298

访问量0
|
下载量0
段落导航相关论文