TY - JOUR
T1 - Artificial intelligence and food security: swarm intelligence of AgriTech drones for smart AgriFood operations
AU - Spanaki, Konstantina
AU - Karafili, Erisa
AU - Sivarajah, Uthayasankar
AU - Despoudi, Stella
AU - Irani, Zahir
PY - 2021/2/25
Y1 - 2021/2/25
N2 - 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.
AB - 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.
KW - Management Science and Operations Research
KW - Strategy and Management
KW - Industrial and Manufacturing Engineering
KW - Computer Science Applications
KW - sustainable development goals (SDGs)
KW - AgriFood sector
KW - artificial intelligence (AI)
KW - swarm intelligence (SI)
KW - food security
UR - https://www.tandfonline.com/doi/abs/10.1080/09537287.2021.1882688?journalCode=tppc20
UR - http://www.scopus.com/inward/record.url?scp=85101613970&partnerID=8YFLogxK
U2 - 10.1080/09537287.2021.1882688
DO - 10.1080/09537287.2021.1882688
M3 - Article
SN - 0953-7287
JO - Production Planning and Control
JF - Production Planning and Control
ER -