期刊
PRODUCTION PLANNING & CONTROL
卷 33, 期 16, 页码 1498-1516出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/09537287.2021.1882688
关键词
AgriFood sector; artificial intelligence (AI); swarm intelligence (SI); sustainable development goals (SDGs); food security
资金
- European Union's H2020 research and innovation programme under the Marie Sklodowska-Curie grant [746667]
- EPSRC [EP/R007268/1] Funding Source: UKRI
- Marie Curie Actions (MSCA) [746667] Funding Source: Marie Curie Actions (MSCA)
The study proposes a solution to food security problems by utilizing Artificial Intelligence techniques and drone swarms, specifically aiming to improve productivity on inaccessible lands using AgriTech drones. The research also highlights the potential challenges triggered by the application of AI in agriculture.
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据