Application of UAV-Based Imaging and Deep Learning in Assessment of Rice Blast Resistance

Rice blast is regarded as one of the major diseases of rice. Screening rice genotypes with high resistance to rice blast is a key strategy for ensuring global food security. Unmanned aerial vehicles (UAV)-based imaging, coupled with deep learning, can acquire high-throughput imagery related to rice...

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Bibliographic Details
Published in:	Rice Science
Main Authors:	Lin Shaodan, Yao Yue, Li Jiayi, Li Xiaobin, Ma Jie, Weng Haiyong, Cheng Zuxin, Ye Dapeng
Format:	Article
Language:	English
Published:	Elsevier 2023-11-01
Subjects:	rice blast segmentation detection trinomial tree Swin Transformer unmanned aerial vehicle
Online Access:	http://www.sciencedirect.com/science/article/pii/S1672630823000896

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