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Artificial Intelligence : Implications for the Agri-Food Sector

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Artificial Intelligence : Implications for the Agri-Food Sector

dc.contributor.author	Taneja, Akriti
dc.contributor.author	Nair, Gayathri
dc.contributor.author	Joshi, Manisha
dc.contributor.author	Sharma, Somesh
dc.contributor.author	Sharma, Surabhi
dc.contributor.author	Rezek Jambrak, Anet
dc.contributor.author	Roselló Soto, Elena
dc.contributor.author	Barba Orellana, Francisco José
dc.contributor.author	Castagnini, Juan Manuel
dc.contributor.author	Leksawasdi, Noppol
dc.contributor.author	Phimolsiripol, Yuthana
dc.date.accessioned	2023-09-05T16:01:19Z
dc.date.available	2023-09-05T16:01:19Z
dc.date.issued	2023
dc.identifier.citation	Taneja, Akriti Nair, Gayathri Joshi, Manisha Sharma, Somesh Sharma, Surabhi Rezek Jambrak, Anet Roselló Soto, Elena Barba Orellana, Francisco José Castagnini, Juan Manuel Leksawasdi, Noppol Phimolsiripol, Yuthana 2023 Artificial Intelligence : Implications for the Agri-Food Sector Agronomy-Basel 13(5) 1397
dc.identifier.uri	https://hdl.handle.net/10550/89080
dc.description.abstract	Artificial intelligence (AI) involves the development of algorithms and computational models that enable machines to process and analyze large amounts of data, identify patterns and relationships, and make predictions or decisions based on that analysis. AI has become increasingly pervasive across a wide range of industries and sectors, with healthcare, finance, transportation, manufacturing, retail, education, and agriculture are a few examples to mention. As AI technology continues to advance, it is expected to have an even greater impact on industries in the future. For instance, AI is being increasingly used in the agri-food sector to improve productivity, efficiency, and sustainability. It has the potential to revolutionize the agri-food sector in several ways, including but not limited to precision agriculture, crop monitoring, predictive analytics, supply chain optimization, food processing, quality control, personalized nutrition, and food safety. This review emphasizes how recent developments in AI technology have transformed the agri-food sector by improving efficiency, reducing waste, and enhancing food safety and quality, providing particular examples. Furthermore, the challenges, limitations, and future prospects of AI in the field of food and agriculture are summarized.
dc.language.iso	eng
dc.relation.ispartof	Agronomy-Basel, 2023, vol. 13(5), num. 1397
dc.subject	Intel·ligència artificial
dc.subject	Agricultura Innovacions
dc.subject	Tecnologia dels aliments
dc.title	Artificial Intelligence : Implications for the Agri-Food Sector
dc.type	journal article
dc.date.updated	2023-09-05T16:01:19Z
dc.identifier.doi	10.3390/agronomy13051397
dc.identifier.idgrec	160926
dc.rights.accessRights	open access