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

Konstantina Spanaki, Erisa Karafili, Uthayasankar Sivarajah, Stella Despoudi, Zahir Irani

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Number of pages19
JournalProduction Planning and Control
Early online date25 Feb 2021
DOIs
Publication statusE-pub ahead of print - 25 Feb 2021

Keywords

  • Management Science and Operations Research
  • Strategy and Management
  • Industrial and Manufacturing Engineering
  • Computer Science Applications
  • sustainable development goals (SDGs)
  • AgriFood sector
  • artificial intelligence (AI)
  • swarm intelligence (SI)
  • food security

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