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dc.contributor.authorSpanaki, K.
dc.contributor.authorSivarajah, Uthayasankar
dc.contributor.authorFakhimi, M.
dc.contributor.authorDespoudi, S.
dc.contributor.authorIrani, Zahir
dc.date.accessioned2020-12-27T16:37:38Z
dc.date.accessioned2021-01-11T11:15:39Z
dc.date.available2020-12-27T16:37:38Z
dc.date.available2021-01-11T11:15:39Z
dc.date.issued2022-01
dc.identifier.citationSpanaki K, Sivarajah U, Fakhimi M et al (2022) Disruptive Technologies in Agricultural Operations: A Systematic Review of AI-driven AgriTech Research. Annals of Operations Research. 308: 491-524.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18287
dc.descriptionYesen_US
dc.description.abstractThe evolving field of disruptive technologies has recently gained significant interest in various industries, including agriculture. The fourth industrial revolution has reshaped the context of Agricultural Technology (AgriTech) with applications of Artificial Intelligence (AI) and a strong focus on data-driven analytical techniques. Motivated by the advances in AgriTech for agrarian operations, the study presents a state-of-the-art review of the research advances which are, evolving in a fast pace over the last decades (due to the disruptive potential of the technological context). Following a systematic literature approach, we develop a categorisation of the various types of AgriTech, as well as the associated AI-driven techniques which form the continuously shifting definition of AgriTech. The contribution primarily draws on the conceptualisation and awareness about AI-driven AgriTech context relevant to the agricultural operations for smart, efficient, and sustainable farming. The study provides a single normative reference for the definition, context and future directions of the field for further research towards the operational context of AgriTech. Our findings indicate that AgriTech research and the disruptive potential of AI in the agricultural sector are still in infancy in Operations Research. Through the systematic review, we also intend to inform a wide range of agricultural stakeholders (farmers, agripreneurs, scholars and practitioners) and to provide research agenda for a growing field with multiple potentialities for the future of the agricultural operations.en_US
dc.language.isoenen_US
dc.rights(c) 2022 The Authors. This is an Open Access article distributed under the Creative Commons CC-BY license (http://creativecommons.org/licenses/by/4.0/)en_US
dc.subjectDisruptive technologiesen_US
dc.subjectAgricultural operationsen_US
dc.subjectAgriTechen_US
dc.subjectAgricultural technologyen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectAIen_US
dc.subjectSystematic literature reviewen_US
dc.titleDisruptive Technologies in Agricultural Operations: A Systematic Review of AI-driven AgriTech Researchen_US
dc.status.refereedYesen_US
dc.date.Accepted2020-12-23
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US
dc.identifier.doihttp://doi.org/10.1007/s10479-020-03922-z
dc.date.updated2020-12-27T16:37:48Z
refterms.dateFOA2021-01-11T11:16:58Z
dc.openaccess.statusGold


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