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基于深度学习的槟榔黄化病感病植株无人机遥感精准识别.

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Title: 基于深度学习的槟榔黄化病感病植株无人机遥感精准识别.
Alternate Title: Precision identification of arecanut yellowing disease infected plants using UAV remote sensing and deep learning.
Authors: 侯 瑞1,2,3 hourui21@mails.ucas.ac.cn, 张弼尧1,2 zhangby@aircas.ac.cn, 徐少雄1,4, 董莹莹1
Source: Transactions of the Chinese Society of Agricultural Engineering. May2026, Vol. 42 Issue 9, p250-258. 9p.
Database: Academic Search Ultimate
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  Data: Precision identification of arecanut yellowing disease infected plants using UAV remote sensing and deep learning.
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  Data: <searchLink fieldCode="JN" term="%22Transactions+of+the+Chinese+Society+of+Agricultural+Engineering%22">Transactions of the Chinese Society of Agricultural Engineering</searchLink>. May2026, Vol. 42 Issue 9, p250-258. 9p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194562546
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        Value: 10.11975/j.issn.1002-6819.202512027
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        Text: English
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      – TitleFull: 基于深度学习的槟榔黄化病感病植株无人机遥感精准识别.
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            NameFull: 张弼尧
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              Text: May2026
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              Y: 2026
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