Nonintrusive and automatic quantitative analysis methods for fish behaviour in aquaculture-Reference-Cited by-同舟云学术

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Nonintrusive and automatic quantitative analysis methods for fish behaviour in aquaculture

Published:2022-03-16 Issue:8 Volume:53 Page:2985-3000
ISSN:1355-557X
Container-title:Aquaculture Research
language:en
Short-container-title:Aquaculture Research

Author:

Liu Jintao¹²³⁴^ORCID,Bienvenido Fernando²,Yang Xinting¹³⁴,Zhao Zhenxi¹³⁴,Feng Shuangxing¹³⁴,Zhou Chao¹³⁴^ORCID

Affiliation:

1. Information Technology Research Center Beijing Academy of Agriculture and Forestry Sciences Beijing China

2. University of Almeria Almeria Spain

3. National Engineering Research Center for Information Technology in Agriculture Beijing China

4. National Engineering Laboratory for Agri‐product Quality Traceability Beijing China

Publisher

Hindawi Limited

Subject

Aquatic Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/are.15828

Reference148 articles.

1. Induced Aggregation of Pond-Reared Rainbow Trout (Salmo gairdneri) Through Acoustic Conditioning

2. Feed utilization, growth and survival of Clarias gariepinus (Burchell 1822) fingerlings cultured under different photoperiods

3. The effect of time-restricted demand feeding on feeding activity growth and feed conversion in rainbow trout (Oncorhynchus mykiss)

4. The use of self-feeders in rainbow trout (Oncorhynchus mykiss) production

5. Feeding activity and opercular pressure transients in Atlantic salmon (Salmo salar L.): application to feeding management in fish farming

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1. Soundscape characteristics of RAS tanks holding Atlantic salmon (Salmo salar) during feeding and feed withdrawal;Aquaculture;2024-12

2. CFFI-Vit: Enhanced Vision Transformer for the Accurate Classification of Fish Feeding Intensity in Aquaculture;Journal of Marine Science and Engineering;2024-07-05

3. Fish feeding intensity assessment method using deep learning-based analysis of feeding splashes;Computers and Electronics in Agriculture;2024-06

4. Assessing Chronodisruption Distress in Goldfish: The Importance of Multimodal Approaches;Animals;2023-08-01

5. Application of Deep Learning-Based Object Detection Techniques in Fish Aquaculture: A Review;Journal of Marine Science and Engineering;2023-04-20

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