Automatic behavior recognition of group-housed goats using deep learning

• Published in: Computers and electronics in agriculture Vol. 177; p. 105706
• Main Authors: Jiang, Min, Rao, Yuan, Zhang, Jingyao, Shen, Yiming
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.10.2020; Elsevier BV
• Subjects: agriculture; Behavior; Behavior recognition; Centroids; Deep learning; Drinking; Eating; electronics; Frames (data processing); Frames per second; Goats; Group dynamics; group housing; Group-housed goats; Livestock; Recognition; Video; Video sequences; YOLOv4; Deep learning; YOLOv4; Behavior recognition; Video sequences; Group-housed goats

•Proposing general behavior recognition framework of group-housed goats.•Investigating appropriate detection model of individual goat based on deep learning.•Incorporating spatial-temporal location features of goats and feeding/drinking zones.•Developing the strategy for achieving real-time analysis...