There is growing interest in the applications of artificial intelligence (AI) in the agri-food sector, to extract or exploit the information in datasets resulting from the monitoring of products and processes. Artificial intelligence algorithms, and the models derived from them, are used as support systems for better decision making or, in some cases, are implemented in automatic control processes and robotics, to alleviate drudgery. In this study, sensing and data collection in different agri-food sectors are described, together with how the data can be curated to achieve better management and decision making in crop and animal production.
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O artigo foi publicado originalmente em Think Tank - Parlamento Europeu.
