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Advancing wheat crop analysis: A survey of deep learning approaches using hyperspectral imaging.

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Title: Advancing wheat crop analysis: A survey of deep learning approaches using hyperspectral imaging.
Authors: Zidi, Fadi Abdeladhim1, fadiabdeladhim.zidi@univ-biskra.dz, Ouafi, Abdelkrim1, a.ouafi@univ-biskra.dz, Bougourzi, Fares2, faresbougourzi@gmail.com, Distante, Cosimo1,3, cosimo.distante@cnr.it, Taleb-Ahmed, Abdelmalik4, Abdelmalik.Taleb-Ahmed@uphf.fr
Source: Computers & Electronics in Agriculture; Nov2025, Vol. 238, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187838245
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187838245
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      – Type: doi
        Value: 10.1016/j.compag.2025.110770
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Advancing wheat crop analysis: A survey of deep learning approaches using hyperspectral imaging.
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            NameFull: Zidi, Fadi Abdeladhim
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            NameFull: Distante, Cosimo
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            NameFull: Taleb-Ahmed, Abdelmalik
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            – D: 01
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
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              Value: 238
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