Interpretive Summary: The role of artificial intelligence in Latin American ruminant production systems

By: Einar Vargas-Bello-Pérez, Oscar R Espinoza-Sandoval, Manuel Gonzalez Ronquillo, Juan Carlos Angeles Hernandez, Alfonso J Chay-Canul, Héctor Aarón Lee-Rangel, Germán Danilo Amaya, Juan Pablo Keim, Javier Baudracco, Ricardo Augusto Mendonça Vieira, Navid Ghavipanje

Implications:

• Artificial intelligence (AI) offers various technologies that can enhance both the quantity and quality of ruminant production in Latin America through precision management, data-driven decision-making, early disease detection, and environmental monitoring.
• Challenges of using AI in Latin American ruminant production include high costs, complexity, data requirements, risk of technological displacement, ethical and social implications, and regulatory and legal frameworks.
• Further research is needed to fully understand the potential impact of AI on the ruminant sector, including evaluating economic benefits, ethical considerations, and long-term effects on the industry and surrounding communities.

Today, cutting-edge technologies—internet of things (IoT), big data, cloud computing, and artificial intelligence (AI)—play a forefront role in sustainable livestock production (Morrone et al., 2022; Dayoub et al., 2024; Melak et al., 2024). AI, a subfield of computer science that simulates human intelligence enables real-time monitoring and analytical processing in the ruminant sector to boost production efficiency and animal welfare (Neethirajan, 2023; Dayoub et al., 2024).

Read more in Animal Frontiers.