Ir-UNet: Irregular segmentation U-shape network for wheat yellow rust detection by UAV multispectral imagery

Crop disease is widely considered as one of the most pressing challenges for food crops, and therefore an accurate crop disease detection algorithm is highly desirable for its sustainable management. The recent use of remote sensing and deep learning is drawing increasing research interests in wheat...

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Bibliographic Details

Main Authors:	Tianxiang Zhang, Zhiyong Xu, Jinya Su, Zhifang Yang, Cunjia Liu, Wen-Hua Chen, Jiangyun Li
Format:	Default Article
Published:	2021
Subjects:	Classical Physics Physical Geography and Environmental Geoscience Geomatic Engineering unmanned aerial vehicle (UAV) multispectral imagery crop disease detection Ir-UNet deep learning
Online Access:	https://hdl.handle.net/2134/16699048.v1
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