By 2033, global meat protein consumption is projected to increase by 3 %, which is expected to result in higher greenhouse gas emissions. Artificial intelligence (AI) and the internet of things have the potential to revolutionise the livestock sector by enabling farmers to increase productivity while reducing environmental impact. AI-powered systems support real-time monitoring of animal health, behaviour and welfare, allowing for the early detection of disease and stress and enabling personalised care. Precision livestock farming uses sensors, cameras and machine learning algorithms to collect and analyse data, thereby facilitating data-driven decision-making and optimised production methods. This approach can increase productivity while reducing emissions and improving animal welfare. The integration of AI in farm management has resulted in innovative solutions that contribute to a more sustainable and efficient farming and food system. In terms of animal health, AI can predict disease outbreaks, identify potential host reservoirs and detect emerging disease threats, enabling prompt intervention and treatment. Animal welfare can also benefit from AI on farms, thanks to the early recognition of discomfort, stress or pain. However, it is essential to acknowledge the potential risks associated with AI, such as cyberattacks, accidental failures and unintentional environmental consequences. Additionally, AI decisions may prioritise efficiency, productivity and cost savings over ethical considerations, potentially leading to negative repercussions for animal welfare.
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O artigo foi publicado originalmente em Think Tank – Parlamento Europeu.
