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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書誌詳細

出版年:	Rice Science
主要な著者:	Lin Shaodan, Yao Yue, Li Jiayi, Li Xiaobin, Ma Jie, Weng Haiyong, Cheng Zuxin, Ye Dapeng
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2023-11-01
主題:	rice blast segmentation detection trinomial tree Swin Transformer unmanned aerial vehicle
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S1672630823000896