Large-scale tobacco identification via a very-high-resolution unmanned aerial vehicle benchmark and a ConvFlow Transformer

Remote sensing and artificial intelligence technology have propelled the development of precision agriculture and smart agriculture. Among them, as a crucial economic crop, tobacco has been rarely studied and its large-scale identification task has consistently encountered several challenges. Firstl...

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Bibliographic Details
Main Authors: Wei Han, Shaohao Chen, Shuanglin Xiao, Yunliang Chen, Huihui Zhao, Jining Yan, Xiaohan Zhang, Sheng Wang
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:International Journal of Applied Earth Observations and Geoinformation
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Online Access:http://www.sciencedirect.com/science/article/pii/S1569843225001967
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