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

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: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
deep learning
Ir-UNet
crop disease detection
multispectral imagery
unmanned aerial vehicle (UAV)
Online Access:https://www.mdpi.com/2072-4292/13/19/3892

Internet

https://www.mdpi.com/2072-4292/13/19/3892

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