The Role of AI in Ruminant Production in Latin America
Author Information
Author(s): 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
Primary Institution: Universidad Autónoma de Chihuahua
Hypothesis
How can artificial intelligence enhance ruminant production systems in Latin America?
Conclusion
AI technologies can significantly improve the efficiency and sustainability of ruminant production in Latin America, despite facing several challenges.
Supporting Evidence
- AI can enhance productivity and sustainability in livestock production.
- Challenges include high costs and the need for better digital infrastructure.
- AI applications in agriculture are lagging in Latin America compared to other regions.
Takeaway
This study shows that using smart technology can help farmers raise healthier animals and produce more food while being kinder to the planet.
Methodology
The study reviewed scientific articles from 2000 to 2024 on AI applications in ruminant production, selecting the most relevant papers for analysis.
Potential Biases
Potential biases may arise from the limited representation of small-scale farmers in the research.
Limitations
The study highlights the need for further research to fully understand AI's impact and the existing gaps in technology adoption among farmers.
Participant Demographics
The study focuses on ruminant production systems in various Latin American countries.
Digital Object Identifier (DOI)
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