Guiding principles of AI: application in animal husbandry and other considerations
2024
Guiding Principles of AI in Animal Husbandry
publication
Evidence: high
Author Information
Author(s): Andrea Rosati
Primary Institution: EAAP—The European Federation of Animal Science, Rome, Italy
Conclusion
AI can significantly enhance efficiency, productivity, and animal welfare in livestock farming.
Supporting Evidence
- AI can improve decision-making in farm management, leading to reduced waste.
- AI tools can monitor animal health in real-time, allowing for earlier interventions.
- AI technologies can help reduce environmental impact by optimizing resource use.
- AI requires specialized knowledge, leading to a shift in required skill sets for farmers.
Takeaway
AI helps farmers make better decisions about their animals, which can lead to healthier animals and less waste.
Potential Biases
Concerns about data security and privacy, as well as the concentration of AI control in a few corporations.
Limitations
The adoption of AI is hindered by challenges such as data availability, ethical concerns, and the need for specialized skills.
Digital Object Identifier (DOI)
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