arXiv Open Access 2025

Fish feeding behavior recognition and intensity quantification methods in aquaculture: From single modality analysis to multimodality fusion

Shulong Zhang Jiayin Zhao Mingyuan Yao Xiao Liu Yukang Huo +2 lainnya
Lihat Sumber

Abstrak

As a key part of aquaculture management, fish feeding behavior recognition and intensity quantification has been a hot area of great concern to researchers, and it plays a crucial role in monitoring fish health, guiding baiting work and improving aquaculture efficiency. In order to better carry out the related work in the future, this paper firstly analyzes and compares the existing reviews. Then reviews the research advances of fish feeding behavior recognition and intensity quantification methods based on computer vision, acoustics and sensors in a single modality. Meanwhile, the application of the current emerging multimodal fusion in fish feeding behavior recognition and intensity quantification methods is expounded. Finally, the advantages and disadvantages of various techniques are compared and analyzed, and the future research directions are envisioned.

Topik & Kata Kunci

Penulis (7)

S

Shulong Zhang

J

Jiayin Zhao

M

Mingyuan Yao

X

Xiao Liu

Y

Yukang Huo

Y

Yingyi Chen

H

Haihua Wang

Format Sitasi

Zhang, S., Zhao, J., Yao, M., Liu, X., Huo, Y., Chen, Y. et al. (2025). Fish feeding behavior recognition and intensity quantification methods in aquaculture: From single modality analysis to multimodality fusion. https://arxiv.org/abs/2502.15311

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓