Identification and Analysis of Emergency Behavior of Cage-Reared Laying Ducks Based on YoloV5

Yue Gu, Shucai Wang, Yu Yan, Shijie Tang and Shida Zhao
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Yue Gu: College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
Shucai Wang: College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
Yu Yan: College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
Shijie Tang: College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
Shida Zhao: College of Engineering, Huazhong Agricultural University, Wuhan 430070, China

Agriculture, 2022, vol. 12, issue 4, 1-16

Abstract: The behavior of cage-reared ducks is an important index to judge the health status of laying ducks. For the automatic recognition task of cage-reared duck behavior based on machine vision, by comparing the detection performance of YoloV4 (you only look once), YoloV5, and Faster-RCNN, this work selected the YoloV5 target detection network with the best performance to identify the three behaviors related to avoidance after a cage-reared duck emergency. The recognition average precision was 98.2% (neck extension), 98.5% (trample), and 98.6% (spreading wings), respectively, and the detection speed was 20.7 FPS. Based on this model, in this work, 10 duck cages were randomly selected, and each duck cage recorded video for 3 min when there were breeders walking in the duck house and no one was walking for more than 20 min. By identifying the generation time and frequency of neck extension out of the cage, trample, and wing spread, it was concluded that the neck extension, trampling, and wing spread behaviors of laying ducks increase significantly when they feel panic and fear. The research provides an efficient, intelligent monitoring method for the behavior analysis of cage-rearing of ducks and provides a basis for the health status judgment and behavior analysis of unmonitored laying ducks in the future.

Keywords: behavior identification; cage-reared ducks; deep learning; YoloV5 (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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