DACN-YOLO: an Improved Abnormal Behavior Recognition Model for Pigs-Reference-Cited by-同舟云学术

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DACN-YOLO: an Improved Abnormal Behavior Recognition Model for Pigs

Published:2024-04-19 Issue: Volume:49 Page:487-495
ISSN:
Container-title:2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL)
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Author:

Cui Yiming¹,Wang Ruiqi¹,Shen Dongzhen¹,Mao Rui²

Affiliation:

1. Northwest A&F University,College of Information Engineering,Yangling,Shaanxi,China

2. Northwest A&F University Shaanxi Engineering Research Center of Agricultural Information Intelligent Perception and Analysis,College of Information Engineering,Yangling,Shaanxi,China

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10603448/10603453/10603675.pdf?arnumber=10603675

Reference23 articles.

1. Analysis of research status and development on engineering technology of swine farming facilities;Wang;Transactions of the Chinese Society for Agricultural Machinery,2018

2. Monitoring trough visits of growing-finishing pigs with UHF-RFID

3. Deep learning-based animal activity recognition with wearable sensors: Overview, challenges, and future directions

4. Research progress of deep learning in the process of pig feeding;Teng;Transactions of the Chinese Society of Agricultural Engineering,2022

5. Automatically detecting pig position and posture by 2D camera imaging and deep learning

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