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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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Main Authors: Lin Shaodan, Yao Yue, Li Jiayi, Li Xiaobin, Ma Jie, Weng Haiyong, Cheng Zuxin, Ye Dapeng
Format: Artigo
Language:Inglês
Published: Elsevier 2023-11-01
Series:Rice Science
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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