Artificial intelligence applied to animal production

Abstract

This research provided a systematic review of the application of artificial intelligence in production systems, combined with precision livestock farming and animal breeding. The data was collected through a bibliometric study to map academic production on the topic of the Use of Artificial Intelligence Applied to Animal Breeding, based on the Web of Science (WoS) platform and the Bibliometrix package in the R software. A total of 60 publications were found over the last 24 years. The United States and the Netherlands were the countries with the highest number of scientific records, accounting for 49% of the publications. The keywords artificial intelligence, deep learning, precision livestock farming and animal welfare were the most frequent. The first publication citing the use of computer intelligence in livestock farming was in 1998, and with the advance of automation systems, there has been an increase in the number of publications since 2015, with the year 2021 standing out. The use of artificial intelligence in livestock farming has proven to be efficient for predicting production characteristics and individualizing animals, and can be used in breeding programs, especially in the process of phenotyping and identifying animals for selection and herd management, which enhances decision-making in production systems.