Artificial intelligence in the agri-food sector: Applications, risks and impacts
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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Externe Autor
This study was written by Josse De Baerdemaeker, with the support of the following co-authors (for the chapters that appear in square brackets): S. Hemming [2 and 6], G. Polder [2], A. Chauhan [2 and 6], A. Petropoulou [2] (Wageningen University and Research), F. Rovira-Más [3] (UP Valencia), D. Moshou [3] (Aristotle University), G. Wyseure [4], T. Norton [5], B. Nicolai [6] (KU Leuven), F. Hennig-Possenti [7], I. Hostens [7] (CEMA).
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Schlagwortliste
- AGRARERZEUGNISSE UND LEBENSMITTEL
- Agrarforschung
- Agrarpolitik
- BILDUNG UND KOMMUNIKATION
- digitaler Wandel
- Erprobung
- Information und Informationsverarbeitung
- künstliche Intelligenz
- LAND- UND FORSTWIRTSCHAFT, FISCHEREI
- Landwirtschaftliche Erwerbstätigkeit
- Landwirtschafts- und Ernährungssektor
- Landwirtschafts- und Ernährungssektor
- Pflanzenbau
- PRODUKTION, TECHNOLOGIE UND FORSCHUNG
- Technologie und technische Regelungen
- technologischer Wandel
- tierische Erzeugung