Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery

Su, JinyaLiu, CunjiaCoombes, MatthewHu, XiaopingWang, ConghaoXu, XiangmingLi, QingdongGuo, LeiChen, Wen Hua2024-03-282024-03-282018-12Su, J, Liu, C, Coombes, M, Hu, X, Wang, C, Xu, X, Li, Q, Guo, L & Chen, W H 2018, 'Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery', Computers and Electronics in Agriculture, pp. 157-166. https://doi.org/10.1016/j.compag.2018.10.0170168-1699ORCID: /0000-0002-3121-7208/work/112496157https://hdl.handle.net/2164/23135Funding Information: This work was supported by Science and Technology Facilities Council (STFC) under Newton fund with Grant No. ST/N006852/1 . Xi’an Tongfei Aviation Technology Co., Ltd was also acknowledged for their professional support in flying UAV for data collection.102290427engMultispectral imageRandom forestSpectral vegetation index (SVI)Unmanned Aerial Vehicle (UAV)Wheat yellow rustS Agriculture (General)ForestryAgronomy and Crop ScienceComputer Science ApplicationsHorticultureSTFC - Science and Technology Facilities CouncilST/N006852/1S1Wheat yellow rust monitoring by learning from multispectral UAV aerial imageryJournal article10.1016/j.compag.2018.10.017http://www.scopus.com/inward/record.url?scp=85054927177&partnerID=8YFLogxK