Fish feeding intensity assessment method using deep learning-based analysis of feeding splashes-Reference-Cited by-同舟云学术

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Fish feeding intensity assessment method using deep learning-based analysis of feeding splashes

Published:2024-06 Issue: Volume:221 Page:108995
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Wu Yao,Wang Xiaochan^ORCID,Shi Yinyan,Wang Yanxin,Qian Dawei,Jiang Ye

Publisher

Elsevier BV

Reference33 articles.

1. Artificial intelligence for fish behavior recognition may unlock fishing gear selectivity;Abangan;Front. Mar. Sci.,2023

2. Incorporating intelligence in fish feeding system for dispensing feed based on fish feeding intensity;Adegboye;IEEE Access,2020

3. Development of automatic fish feeding system based on gasping behavior;Aisuwarya,2018

4. An improved faster-RCNN model for handwritten character recognition;Albahli;Arab. J. Sci. Eng.,2021

5. Application of computer vision in fish intelligent feeding system—a review;An;Aquac. Res.,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intelligent Control for Automated Fish Feeding System in an Aquaponic Environment;2024 7th International Conference on Informatics and Computational Sciences (ICICoS);2024-07-17

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