中国水产科学2026，Vol.33Issue(5)：47-55,9.DOI:10.12264/JFSC2025-0334
基于多模态融合的东星斑低温异常行为识别
Abnormal behavior recognition of Plectropomus leopardus under low-temperature stress based on multimodal fusion
摘要
Abstract
The behavioral responses of the eastern red snapper(Plectropomus leopardus)to low-temperature stress are of significant importance for the precise regulation of aquaculture environments.This study proposes a multimodal-structured classification model for recognizing the behavior of eastern red snapper under low-temperature stress,based on the spatiotemporal distribution differences observed under such conditions.The model integrates three modalities,including RGB images,binarized images,and optical flow images,to improve behavioral classification accuracy.It employs three independent ResNet-50 feature extraction modules and introduces an attention-based fusion strategy to dynamically adjust the contributions of different modal features.Experimental results demonstrate that the three-modal fusion model achieves an accuracy of 96.5%,a precision of 96.8%,a recall of 97.2%,and an F1 score of 97.4%,outperforming other comparative models.These results validate the complementarity and effectiveness of multimodal features in behavior recognition.This study provides a quantitative analysis of behavioral changes in eastern red snapper under low-temperature stress and establishes a methodological foundation for implementing behavior monitoring systems in aquaculture environments.关键词
鱼类行为/多模态分类/东星斑/渔业数智化Key words
fish behavior/multimodal classification/Plectropomus leopardus/digital and intelligent transformation of fisheries分类
农业科技引用本文复制引用
刘胜男,张佳鹏,钱程,刘世晶..基于多模态融合的东星斑低温异常行为识别[J].中国水产科学,2026,33(5):47-55,9.基金项目
农业农村部科技项目. （）
