A Two-Stage Method to Detect the Sex Ratio of Hemp Ducks Based on Object Detection and Classification Networks

• Published in: Animals (Basel) Vol. 12; no. 9; p. 1177
• Main Authors: Zheng, Xingze, Li, Feiyi, Lin, Bin, Xie, Donghang, Liu, Yang, Jiang, Kailin, Gong, Xinyao, Jiang, Hongbo, Peng, Ran, Duan, Xuliang
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 04.05.2022; MDPI
• Subjects: Accuracy; Cameras; Classification; computer vision; Datasets; Deep learning; duck detection; duck sex classification; Efficiency; Eggs; farming automation; Farms; Hemp; Methods; Poultry; Surveillance; China; duck detection; duck sex classification; farming automation; computer vision

The sex ratio is an important factor affecting the economic benefits of duck groups in the process of hemp duck breeding. However, the current manual counting method is inefficient, and the results are not always accurate. On the one hand, ducks are in constant motion, and on the other hand, the man...