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

Yes === 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...

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Main Authors: Spanaki, K., Karafili, E., Sivarajah, Uthayasankar, Despoudi, S., Irani, Zahir
Language:en
Published: 2020
Subjects:
AI
SI
Online Access:http://hdl.handle.net/10454/17961
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spelling ndltd-BRADFORD-oai-bradscholars.brad.ac.uk-10454-179612021-04-29T05:00:59Z Artificial Intelligence and Food Security: Swarm Intelligence of AgriTech Drones for Smart AgriFood Operations Spanaki, K. Karafili, E. Sivarajah, Uthayasankar Despoudi, S. Irani, Zahir Agrifood sector Artificial Intelligence AI Swarm Intelligence SI Sustainable Development Goals SDGs Food security Yes 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. European Union's H2020 research and innovation programme under the Marie Skłodowska-Curie grant (agreement No. 746667) The full-text of this article will be released for public view at the end of the publisher embargo on 25 Feb 2022. 2020-07-26T20:01:19Z 2020-08-14T07:42:12Z 2020-07-26T20:01:19Z 2020-08-14T07:42:12Z 2021 2020-07-17 2021-02-25 2022-02-25 2020-07-26T19:01:22Z Article Accepted manuscript 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. http://hdl.handle.net/10454/17961 en https://doi.org/10.1080/09537287.2021.1882688 © 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.
collection NDLTD
language en
sources NDLTD
topic Agrifood sector
Artificial Intelligence
AI
Swarm Intelligence
SI
Sustainable Development Goals
SDGs
Food security
spellingShingle Agrifood sector
Artificial Intelligence
AI
Swarm Intelligence
SI
Sustainable Development Goals
SDGs
Food security
Spanaki, K.
Karafili, E.
Sivarajah, Uthayasankar
Despoudi, S.
Irani, Zahir
Artificial Intelligence and Food Security: Swarm Intelligence of AgriTech Drones for Smart AgriFood Operations
description Yes === 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. === European Union's H2020 research and innovation programme under the Marie Skłodowska-Curie grant (agreement No. 746667) === The full-text of this article will be released for public view at the end of the publisher embargo on 25 Feb 2022.
author Spanaki, K.
Karafili, E.
Sivarajah, Uthayasankar
Despoudi, S.
Irani, Zahir
author_facet Spanaki, K.
Karafili, E.
Sivarajah, Uthayasankar
Despoudi, S.
Irani, Zahir
author_sort Spanaki, K.
title Artificial Intelligence and Food Security: Swarm Intelligence of AgriTech Drones for Smart AgriFood Operations
title_short Artificial Intelligence and Food Security: Swarm Intelligence of AgriTech Drones for Smart AgriFood Operations
title_full Artificial Intelligence and Food Security: Swarm Intelligence of AgriTech Drones for Smart AgriFood Operations
title_fullStr Artificial Intelligence and Food Security: Swarm Intelligence of AgriTech Drones for Smart AgriFood Operations
title_full_unstemmed Artificial Intelligence and Food Security: Swarm Intelligence of AgriTech Drones for Smart AgriFood Operations
title_sort artificial intelligence and food security: swarm intelligence of agritech drones for smart agrifood operations
publishDate 2020
url http://hdl.handle.net/10454/17961
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AT sivarajahuthayasankar artificialintelligenceandfoodsecurityswarmintelligenceofagritechdronesforsmartagrifoodoperations
AT despoudis artificialintelligenceandfoodsecurityswarmintelligenceofagritechdronesforsmartagrifoodoperations
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