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- W4309078364 endingPage "270" @default.
- W4309078364 startingPage "242" @default.
- W4309078364 abstract "Precision Agriculture (PA) promises to boost crop productivity while reducing agricultural costs and environmental footprints, and therefore is attracting ever-increasing interests in both academia and industry. This management strategy is underpinned by various advanced technologies including Unmanned Aerial Vehicle (UAV) sensing systems and Artificial Intelligence (AI) perception algorithms. In particular, due to their unique advantages such as a low cost, high spatio-temporal resolutions, flexibility, automation functions and minimized risk of operation, UAV sensing systems have been extensively applied in many civilian applications including PA since 2010. In parallel, AI algorithms (deep learning since 2012 in particular) are also drawing ever-increasing attention in different fields, since they are able to analyse an unprecedented volume/velocity/variety of data (semi-) automatically, which are also becoming computationally practical with the advancements of cloud computing, Graphics Processing Units and parallel computing. In this survey paper, therefore, a thorough review is performed on recent use of UAV sensing systems (e.g., UAV platforms, external sensing units) and AI algorithms (mainly supervised learning algorithms) in PA applications throughout the crop life-cycle, as well as the challenges and prospects for future development of UAVs and AI in agriculture sector. It is envisioned that this review is able to provide a timely technical reference, demystifying and promoting research, deployment and successful exploitation of AI empowered UAV perception systems for PA, and therefore contributing to addressing future agricultural and human nutrition challenges." @default.
- W4309078364 created "2022-11-21" @default.
- W4309078364 creator A5001081849 @default.
- W4309078364 creator A5009240555 @default.
- W4309078364 creator A5009488009 @default.
- W4309078364 creator A5081958822 @default.
- W4309078364 date "2023-01-01" @default.
- W4309078364 modified "2023-10-16" @default.
- W4309078364 title "AI meets UAVs: A survey on AI empowered UAV perception systems for precision agriculture" @default.
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