Su, JinyaYi, DeweiSu, BaofengMi, ZhiwenLiu, CunjiaHu, XiaopingXu, XiangmingGuo, LeiChen, Wen-Hua2021-03-092021-03-092021-03Su, J, Yi, D, Su, B, Mi, Z, Liu, C, Hu, X, Xu, X, Guo, L & Chen, W-H 2021, 'Aerial Visual Perception in Smart Farming : Field Study of Wheat Yellow Rust Monitoring', IEEE Transactions on Industrial Informatics, vol. 17, no. 3, pp. 2242-2249. https://doi.org/10.1109/TII.2020.29792371551-3203ORCID: /0000-0002-3121-7208/work/87488324ORCID: /0000-0003-1702-9136/work/72175469ORCID: /0000-0002-3121-7208/work/112496149ORCID: /0000-0002-3121-7208/work/87488324https://hdl.handle.net/2164/15997This work was supported by Science and Technology Facilities Council (STFC) under Newton fund with Grant No. ST/N006852/1.810574067engdeep learningmultispectral imageprecision agriculturesemantic segmentationU-netunmanned aerial vehicle (UAV)Deep learningU-NetQA75 Electronic computers. Computer scienceInformation SystemsElectrical and Electronic EngineeringControl and Systems EngineeringComputer Science ApplicationsSTFC - Science and Technology Facilities CouncilST/N006852/1QA75Aerial Visual Perception in Smart Farming : Field Study of Wheat Yellow Rust MonitoringJournal article10.1109/TII.2020.2979237http://www.scopus.com/inward/record.url?scp=85097709443&partnerID=8YFLogxK173