Examining the interplay between artificial intelligence and the agri-food industry
作者机构：Department of Management and LawFaculty of EconomicsUniversity of Rome Tor VergataVia Columbia2Rome 00133Italy Faculty of Sciences of BizerteUniversity of CarthageTunisTunisia Department of ManagementFaculty of Business and EconomicsUniversity MalayaKuala Lumpur50203Malaysia Henley Business SchoolUniversity of ReadingGreenlandsHenley-on-Thames RG93AUUK
出 版 物：《Artificial Intelligence in Agriculture》 (农业人工智能（英文）)
年 卷 期：2022年第6卷第1期
页 面：111-128页
核心收录：
学科分类：0202[经济学-应用经济学] 02[经济学] 020205[经济学-产业经济学]
主 题：Artificial intelligence Agriculture Farming Machine learning Deep learning Bibliometric analysis Resource-based view
摘 要：Artificial intelligence(AI)has advanced at an astounding rate and transformed numerous economic ***,a comprehensive understanding of how AI can improve the agri-food industry is *** addition,there is a notable dearth of research on AI that investigates the influence of AI on agri-food resources and educates practitioners on the significance of knowledge-based and smart *** utilised bibliometric analysis to investigate the present state of the art and emerging trends in the relationship between AI and the agri-food *** research identified three distinct growth phases and the most prevalent AI strategies in the *** addition,we analysed key trends and offered researchers and practitioners insightful recommendations for future *** resource-based view(RBV)as the theoretical lens,this study established a framework emphasising the long-term effects of AI on various agri-food resources and proposed several research *** addition,AI-related obstacles have been identified and categorised into four major ***,the originality of the article lies in its numerous research suggestions and recommendations for advancing the AI field in the agri-food industry.
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