ARTIFICIAL INTELLIGENCE IN LIVESTOCK FARMING IN THE ALVORADA REGION – TOCANTINS

Abstract

This study analyzes the application of Artificial Intelligence (AI) in cattle farming in the municipality of Alvorada, Tocantins, focusing on the possibilities for improving productivity, animal health, and the sustainability of rural properties. The research is characterized as exploratory, descriptive, bibliographic, and documentary, using a qualitative approach to understand the impacts and limitations of the insertion of digital technologies in the peculiar regional context. Scientific productions, technical reports, and institutional data related to precision livestock farming, digital agriculture, and technological innovation in agribusiness were verified. The results demonstrate that tools such as smart sensors, machine learning, the Internet of Things (IoT), remote monitoring, and predictive analytics have high potential to improve herd management, enhance productive efficiency, and contribute to more sustainable practices. However, relevant challenges to the adoption of these technologies were identified, including limitations in rural connectivity, implementation costs, low technological infrastructure, and the need for producers' technical skills. It is concluded that Artificial Intelligence represents an important alternative for the modernization of livestock farming in Alvorada – TO, provided that its implementation occurs gradually, adapted to the regional reality and accompanied by investments in digital infrastructure and technical assistance.