Akademik Veri Yönetim Sistemi
ISPEC 14th INTERNATIONAL CONFERENCE ON AGRICULTURE, ANIMAL SCIENCES AND RURAL DEVELOPMENT, İzmir, Türkiye, 22 Mart 2024
As artificial intelligence applications have developed, machine learning, deep learning, and neural networks, whose algorithms are powerful and flexible predictive modeling tools, have started to be widely used in animal husbandry, especially in cattle production and breeding. In our study, bibliometric analyses of machine learning applications in cattle breeds were conducted using the keywords "machine learning in cattle" in the Web of Science (WOS) (https://www.webofscience.com) and Scopus (https://www.scopus.com/search) databases. The analysis showed that from 2001 to 2024, 586 publications were published in WOS and 852 were published in Scopus on this topic. The majority of the publications were published in the areas of agriculture, dairy animal science, and veterinary science. A large part of the research was carried out in the United States and China. Machine learning has been widely used in cattle breeding for many purposes such as disease screening, keeping track of yields, improving farm conditions, identifying species, identifying markers, and creating security protocols. Our work highlights the importance and potential uses of artificial intelligence in cattle breeding and development, especially in improving farm conditions, using bibliometric studies.
Keywords: Machine Learning, Cattle, Deep Learning, Computer Vision, Precision
Livestock Farming