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Surv."],"published-print":{"date-parts":[[2025,2,28]]},"abstract":"<jats:p>With the world population rapidly increasing, transforming our agrifood systems to be more productive, efficient, safe, and sustainable is crucial to mitigate potential food shortages. Recently, artificial intelligence (AI) techniques such as deep learning (DL) have demonstrated their strong abilities in various areas, including language, vision, remote sensing (RS), and agrifood systems applications. However, the overall impact of AI on agrifood systems remains unclear. In this article, we thoroughly review how AI techniques can transform agrifood systems and contribute to the modern agrifood industry. First, we summarize the data acquisition methods in agrifood systems, including acquisition, storage, and processing techniques. Second, we present a progress review of AI methods in agrifood systems, specifically in agriculture, animal husbandry, and fishery, covering topics such as agrifood classification, growth monitoring, yield prediction, and quality assessment. Furthermore, we highlight potential challenges and promising research opportunities for transforming modern agrifood systems with AI. We hope this survey can offer an overall picture to newcomers in the field and serve as a starting point for their further research. The project website is https:\/\/github.com\/Frenkie14\/Agrifood-Survey.<\/jats:p>","DOI":"10.1145\/3698589","type":"journal-article","created":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T10:18:29Z","timestamp":1728296309000},"page":"1-37","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Empowering Agrifood System with Artificial Intelligence: A Survey of the Progress, Challenges and Opportunities"],"prefix":"10.1145","volume":"57","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6965-1256","authenticated-orcid":false,"given":"Tao","family":"Chen","sequence":"first","affiliation":[{"name":"China University of Geosciences, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6388-4147","authenticated-orcid":false,"given":"Liang","family":"Lv","sequence":"additional","affiliation":[{"name":"China University of Geosciences, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6360-4360","authenticated-orcid":false,"given":"Di","family":"Wang","sequence":"additional","affiliation":[{"name":"Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6595-7661","authenticated-orcid":false,"given":"Jing","family":"Zhang","sequence":"additional","affiliation":[{"name":"The University of Sydney, Sydney, Australia and Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5187-152X","authenticated-orcid":false,"given":"Yue","family":"Yang","sequence":"additional","affiliation":[{"name":"China University of Geosciences, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1132-1616","authenticated-orcid":false,"given":"Zeyang","family":"Zhao","sequence":"additional","affiliation":[{"name":"China University of Geosciences, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1551-077X","authenticated-orcid":false,"given":"Chen","family":"Wang","sequence":"additional","affiliation":[{"name":"China University of Geosciences, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-3190-5994","authenticated-orcid":false,"given":"Xiaowei","family":"Guo","sequence":"additional","affiliation":[{"name":"China University of Geosciences, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2658-6321","authenticated-orcid":false,"given":"Hao","family":"Chen","sequence":"additional","affiliation":[{"name":"China University of Geosciences, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3441-051X","authenticated-orcid":false,"given":"Qingye","family":"Wang","sequence":"additional","affiliation":[{"name":"China University of Geosciences, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9931-5138","authenticated-orcid":false,"given":"Yufei","family":"Xu","sequence":"additional","affiliation":[{"name":"The University of Sydney, Sydney, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0060-0543","authenticated-orcid":false,"given":"Qiming","family":"Zhang","sequence":"additional","affiliation":[{"name":"The University of Sydney, Sydney, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0059-8458","authenticated-orcid":false,"given":"Bo","family":"Du","sequence":"additional","affiliation":[{"name":"School of Computer Science, Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6890-3650","authenticated-orcid":false,"given":"Liangpei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7225-5449","authenticated-orcid":false,"given":"Dacheng","family":"Tao","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}]}],"member":"320","published-online":{"date-parts":[[2024,11,7]]},"reference":[{"key":"e_1_3_2_2_2","unstructured":"John Knight and Eric Krantz. 2016. 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