BRADFORD SCHOLARS

    • Sign in
    View Item 
    •   Bradford Scholars
    • Management and Law
    • Management and Law Publications
    • View Item
    •   Bradford Scholars
    • Management and Law
    • Management and Law Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of Bradford ScholarsCommunitiesAuthorsTitlesSubjectsPublication DateThis CollectionAuthorsTitlesSubjectsPublication Date

    My Account

    Sign in

    HELP

    Bradford Scholars FAQsCopyright Fact SheetPolicies Fact SheetDeposit Terms and ConditionsDigital Preservation Policy

    Statistics

    Display statistics

    Artificial Intelligence and Food Security: Swarm Intelligence of AgriTech Drones for Smart AgriFood Operations

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Publication date
    2021
    End of Embargo
    2022-02-25
    Author
    Spanaki, K.
    Karafili, E.
    Sivarajah, Uthayasankar
    Despoudi, S.
    Irani, Zahir
    Keyword
    Agrifood sector
    Artificial Intelligence
    AI
    Swarm Intelligence
    SI
    Sustainable Development Goals
    SDGs
    Food security
    Rights
    © 2021 Taylor & Francis. This is an Author's Original Manuscript of an article published by Taylor & Francis in Production Planning and Control on xx xxx 2021 available online at https://doi.org/10.1080/09537287.2021.1882688.
    Peer-Reviewed
    Yes
    
    Metadata
    Show full item record
    Abstract
    The Sustainable Development Goals (SDGs) present the emerging need to explore new ways of AgriFood production and food security as ultimate targets for feeding future generations. The study adopts a Design Science methodology and proposes Artificial Intelligence (AI) techniques as a solution to food security problems. Specifically, the proposed artefact presents the collective use of Agricultural Technology (AgriTech) drones inspired by the biomimetic ways of bird swarms. The design (artefact) appears here as a solution for supporting farming operations in inaccessible land, so as unmanned aerial devices contribute and improve the productivity of farming areas with limited capacity. The proposed design is developed through a scenario of drone swarms applying AI techniques to address food security issues. The study concludes by presenting a research agenda and the sectoral challenges triggered by the applications of AI in Agriculture.
    URI
    http://hdl.handle.net/10454/17961
    Version
    Accepted manuscript
    Citation
    Spanaki K, Karafili E, Sivarajah U et al (2021) Artificial Intelligence and Food Security: Swarm Intelligence of AgriTech Drones for Smart AgriFood Operations. Production Planning and Control. Accepted for publication.
    Link to publisher’s version
    https://doi.org/10.1080/09537287.2021.1882688
    Type
    Article
    Notes
    The full-text of this article will be released for public view at the end of the publisher embargo 0n 25 Feb 2022.
    Collections
    Management and Law Publications

    entitlement

     
    DSpace software (copyright © 2002 - 2021)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.