Identifying the Mating Posture of Cattle Using Deep Learning-Based Object Detection with Networks of Various Settings

• Published in: Journal of electrical engineering & technology Vol. 16; no. 3; pp. 1685 - 1692
• Main Authors: Chae, Jung-woo, Cho, Hyun-chong
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.05.2021; 대한전기학회
• Subjects: Electrical Engineering; Electrical Machines and Networks; Electronics and Microelectronics; Engineering; Instrumentation; Original Article; Power Electronics; 전기공학; Mating posture; Estrus; Cattle; Mish activation function; Object detection; Deep learning network

Estrus detection in cattle is an important factor in livestock farming. With timely estrus detection, cattle are artificially fertilized and isolated for safety, which directly affects the productivity of livestock farms. Estrus can be successfully detected by identifying the mating posture of cattl...