Visual large language model for wheat disease diagnosis in the wild.

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Title: Visual large language model for wheat disease diagnosis in the wild.
Authors: Zhang, Kunpeng1,2, Ma, Li1, Cui, Beibei1, Li, Xin1, Zhang, Boqiang3, Xie, Na1,4, xiena@cufe.edu.cn
Source: Computers & Electronics in Agriculture; Dec2024:Part 1, Vol. 227, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 181496310
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Visual large language model for wheat disease diagnosis in the wild.
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  Data: <searchLink fieldCode="AU" term="%22Zhang%2C+Kunpeng%22">Zhang, Kunpeng</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Ma%2C+Li%22">Ma, Li</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Cui%2C+Beibei%22">Cui, Beibei</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Xin%22">Li, Xin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Boqiang%22">Zhang, Boqiang</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Xie%2C+Na%22">Xie, Na</searchLink><relatesTo>1,4</relatesTo>, <i>xiena@cufe.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Computers+%26+Electronics+in+Agriculture%22">Computers & Electronics in Agriculture</searchLink>; Dec2024:Part 1, Vol. 227, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=181496310
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.compag.2024.109587
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      – Code: eng
        Text: English
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      – TitleFull: Visual large language model for wheat disease diagnosis in the wild.
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            NameFull: Zhang, Kunpeng
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            NameFull: Ma, Li
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            NameFull: Cui, Beibei
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            NameFull: Li, Xin
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            NameFull: Zhang, Boqiang
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            – D: 01
              M: 12
              Text: Dec2024:Part 1
              Type: published
              Y: 2024
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              Value: 227
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