Feature fusion strategy and improved GhostNet for accurate recognition of fish feeding behavior

Zhuangzhuang Du,Xianbao Xu,Zhuangzhuang Bai,Xiaohang Liu, Yang Hu, Wanchao Li,Cong Wang,Daoliang Li

Computers and Electronics in Agriculture（2023）

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摘要

•An LC-GhostNet lightweight network based on the GhostNet is proposed.•Fusion of Mel spectrogram, STFT feature map, and CQT feature map.•The method can quantify the feeding behavior of fish into four classes.•The feature fusion accuracy reaches 97.941%, which is higher than a single feature.

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关键词

Fish feeding intensity,Feature fusion,LC-GhostNet lightweight network,On-demand feeding system

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