Ir-UNet : Irregular Segmentation U-Shape Network for Wheat Yellow Rust Detection by UAV Multispectral Imagery

Zhang, TianxiangXu, ZhiyongSu, JinyaYang, ZhifangLiu, CunjiaChen, Wen-HuaLi, Jiangyun2022-04-252022-04-252021-09-28Zhang, T, Xu, Z, Su, J, Yang, Z, Liu, C, Chen, W-H & Li, J 2021, 'Ir-UNet : Irregular Segmentation U-Shape Network for Wheat Yellow Rust Detection by UAV Multispectral Imagery', Remote Sensing, vol. 13, no. 19, 3892. https://doi.org/10.3390/rs131938922072-4292ORCID: /0000-0002-3121-7208/work/112496167https://hdl.handle.net/2164/18480Funding: This work was supported by the Fundamental Research Funds for the China Central Universities of USTB (FRF-DF-19-002), Scientific and Technological Innovation Foundation of Shunde Graduate School, USTB: BK20BE014. This work was also partially supported by UK Science and Technology Facilities Council (STFC) under Newton fund with Grant ST/V00137X/1.2011187559engdeep learningIr-UNetcrop disease detectionmultispectral imageryunmanned aerial vehicle (UAV)LEAF CHLOROPHYLL CONTENTVEGETATION INDEXCANOPYREFLECTANCEPARAMETERSLOSSESQA75 Electronic computers. Computer scienceQA75Ir-UNet : Irregular Segmentation U-Shape Network for Wheat Yellow Rust Detection by UAV Multispectral ImageryJournal article10.3390/rs131938921319