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

Artificial intelligence and food security: swarm intelligence of AgriTech drones for smart AgriFood operations
Artificial intelligence and food security: swarm intelligence of AgriTech drones for smart AgriFood operations
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.
0953-7287
Spanaki, Konstantina
bd7cf80d-ce07-4b50-a8c9-b064daae8d32
Karafili, Erisa
f5efa31c-22b8-443e-8107-e488bd28918e
Sivarajah, Uthayasankar
73c3b914-4893-485a-80c6-1d762a82a5d7
Despoudi, Stella
117b08d8-3934-4a64-8abb-4311c2bebec4
Irani, Zahir
8435a933-74e8-468e-ab4f-d447aace3952
Spanaki, Konstantina
bd7cf80d-ce07-4b50-a8c9-b064daae8d32
Karafili, Erisa
f5efa31c-22b8-443e-8107-e488bd28918e
Sivarajah, Uthayasankar
73c3b914-4893-485a-80c6-1d762a82a5d7
Despoudi, Stella
117b08d8-3934-4a64-8abb-4311c2bebec4
Irani, Zahir
8435a933-74e8-468e-ab4f-d447aace3952

Spanaki, Konstantina, Karafili, Erisa, Sivarajah, Uthayasankar, Despoudi, Stella and Irani, Zahir (2020) Artificial intelligence and food security: swarm intelligence of AgriTech drones for smart AgriFood operations. Production Planning and Control. (In Press)

Record type: Article

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.

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Artificial Intelligence and Food Security - Accepted Manuscript
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Accepted/In Press date: 18 July 2020

Identifiers

Local EPrints ID: 442863
URI: http://eprints.soton.ac.uk/id/eprint/442863
ISSN: 0953-7287
PURE UUID: 90a85fda-6f63-4cb3-9c1a-f2977a23f6aa

Catalogue record

Date deposited: 30 Jul 2020 16:30
Last modified: 18 Jul 2021 04:01

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Contributors

Author: Konstantina Spanaki
Author: Erisa Karafili
Author: Uthayasankar Sivarajah
Author: Stella Despoudi
Author: Zahir Irani

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