Application of Data Science in Reproduction of Domestic Animals

Dear Colleagues, 

The general reproductive characteristics of animals are evaluated through visual assessment. Specifically, professional experience and knowledge are essential for analyzing the reproductive characteristics of domestic animals. However, the subjective decisions and tedious work of experts can affect the accuracy of the examination. Recently, data science-based computer science has rapidly developed, with text analysis, computer vision, and other technologies applied in various industries, such as engineering, agriculture, and medicine. Currently, data science-based computer science is being applied in domestic animals, including in the prediction of physiological phenomena, automatic detection of behavior, body shape, and weight, and smart poultry farming. However, there are few studies on domestic animal reproduction.

This Special Issue, "Application of Data Science in Reproduction of Domestic Animals", welcomes original research and review papers that aim to provide research on all reproductive phenomena, including reproductive behavior, reproductive cell analysis based on data science, machine learning, general statistical analysis, and deep learning in domestic animals.

Dr. Sang-Hee Lee
Dr. Seunghyung Lee
Guest Editors

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