A lightweight few-shot learning model for crop pest and disease identification.

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Title: A lightweight few-shot learning model for crop pest and disease identification.
Authors: Wei, Linsen1, Tang, Jingjun1, Chen, Jinxiu1, Mukamakuza, Carine Pierrette2, Zhang, Defu1, dfzhang@xmu.edu.cn, Zhang, Tong3
Source: Artificial Intelligence Review; Oct2025, Vol. 58 Issue 10, p1-23, 23p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 187082163
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  Data: A lightweight few-shot learning model for crop pest and disease identification.
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  Data: <searchLink fieldCode="AU" term="%22Wei%2C+Linsen%22">Wei, Linsen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Tang%2C+Jingjun%22">Tang, Jingjun</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Chen%2C+Jinxiu%22">Chen, Jinxiu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Mukamakuza%2C+Carine+Pierrette%22">Mukamakuza, Carine Pierrette</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Defu%22">Zhang, Defu</searchLink><relatesTo>1</relatesTo>, <i>dfzhang@xmu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Tong%22">Zhang, Tong</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Oct2025, Vol. 58 Issue 10, p1-23, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187082163
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10462-025-11323-6
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      – Code: eng
        Text: English
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        PageCount: 23
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      – TitleFull: A lightweight few-shot learning model for crop pest and disease identification.
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            NameFull: Wei, Linsen
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            NameFull: Tang, Jingjun
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            NameFull: Chen, Jinxiu
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            NameFull: Mukamakuza, Carine Pierrette
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            NameFull: Zhang, Defu
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            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
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