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Accepted version-PPC Final Swarm intelligence.pdf (1.33 MB)

Artificial intelligence and food security: swarm intelligence of AgriTech drones for smart AgriFood operations

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journal contribution
posted on 2020-07-20, 09:11 authored by Konstantina Spanaki, Erisa Karafili, Uthayasankar Sivarajah, Stella Despoudi, Zahir Irani
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.

Funding

European Union's H2020 research and innovation programme under the Marie Skłodowska-Curie grant (agreement No. 746667)

History

School

  • Business and Economics

Department

  • Business

Published in

Production Planning & Control

Volume

33

Issue

16

Pages

1498-1516

Publisher

Taylor & Francis

Version

  • AM (Accepted Manuscript)

Rights holder

© Taylor & Francis

Publisher statement

This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning & Control on 25 Feb 2021, available online: https://doi.org/10.1080/09537287.2021.1882688.

Acceptance date

2020-07-17

Publication date

2021-02-25

Copyright date

2021

ISSN

0953-7287

eISSN

1366-5871

Language

  • en

Depositor

Dr Konstantina Spanaki. Deposit date: 18 July 2020

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