GateProtoNet: A Compute-Aware Two-Stage Hybrid Framework with Prototype Evidence and Faithfulness-Verified Explainability for Wheat and Cotton Leaf Disease Classification.

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Title: GateProtoNet: A Compute-Aware Two-Stage Hybrid Framework with Prototype Evidence and Faithfulness-Verified Explainability for Wheat and Cotton Leaf Disease Classification.
Authors: Sharif, Muhammad Irfan1 (AUTHOR), Zhong, Yong1,2 (AUTHOR) zhongyong@scut.edu.cn, Sajid, Muhammad Zaheer2,3 (AUTHOR), Marinello, Francesco1,3 (AUTHOR)
Source: AgriEngineering. Apr2026, Vol. 8 Issue 4, p152. 34p.
Database: Academic Search Ultimate
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  Data: GateProtoNet: A Compute-Aware Two-Stage Hybrid Framework with Prototype Evidence and Faithfulness-Verified Explainability for Wheat and Cotton Leaf Disease Classification.
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  Data: <searchLink fieldCode="AR" term="%22Sharif%2C+Muhammad+Irfan%22">Sharif, Muhammad Irfan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhong%2C+Yong%22">Zhong, Yong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> zhongyong@scut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Sajid%2C+Muhammad+Zaheer%22">Sajid, Muhammad Zaheer</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Marinello%2C+Francesco%22">Marinello, Francesco</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22AgriEngineering%22">AgriEngineering</searchLink>. Apr2026, Vol. 8 Issue 4, p152. 34p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193454445
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      – Type: doi
        Value: 10.3390/agriengineering8040152
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      – Code: eng
        Text: English
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      – TitleFull: GateProtoNet: A Compute-Aware Two-Stage Hybrid Framework with Prototype Evidence and Faithfulness-Verified Explainability for Wheat and Cotton Leaf Disease Classification.
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            NameFull: Sharif, Muhammad Irfan
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            NameFull: Zhong, Yong
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            NameFull: Sajid, Muhammad Zaheer
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              Text: Apr2026
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              Y: 2026
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