A smart chicken farming platform for chicken behavior identification and feed residual estimation

It is very potential to develop digital villages for promoting smart agriculture. As one of the important research fields of smart agriculture, smart chicken farms encounter management problems such as difficulties in quickly and accurately warning of sick and dead chickens and estimating feed resid...

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Main Authors: Yang, Jiezhi, Qu, Chaochao, Liu, Zirong, Ma, Kangzhe, Gao, Jun, Zhao, Kuo, Jiang, Ning, Lu, Quan, Li, Yanyan, Wei, Linjing, Tao, Wenjing, Zheng, Huiru, Zhou, Antong, Zhang, Le
Format: Conference Proceeding
Language:English
Subjects:
Behavioral sciences
Bioinformatics
Biology
computational biology
computer vision
Data visualization
Estimation
Feeds
instance segmentation
object tracking
Smart agriculture
smart chicken farming
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Summary:It is very potential to develop digital villages for promoting smart agriculture. As one of the important research fields of smart agriculture, smart chicken farms encounter management problems such as difficulties in quickly and accurately warning of sick and dead chickens and estimating feed residuals. Therefore, this study not only respectively proposed CKTrack and FRCM to detect sick and dead chickens and estimate feed residuals, but also developed a smart chicken farming platform for automagical management. Our main results include (1) the proposed CKTrack method can effectively identify sick and dead chickens under the condition of limited data volume and computing capacity; (2) the proposed FRCM method can accurately estimate the feed residuals; and (3) the smart chicken farming platform developed can provide farmers with functions such as early warning of sick and dead chickens, visualization of the chicken quantity inventory, and feed residual estimation.
ISSN:2156-1133
DOI:10.1109/BIBM58861.2023.10385923