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Hybrid deep learning with a fusion model of weather and soil-based multi-crop recommendations for improving crop sustainability.

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Title: Hybrid deep learning with a fusion model of weather and soil-based multi-crop recommendations for improving crop sustainability.
Authors: M, Mohan1 (AUTHOR) m.mohansan@gmail.com, Anandamurugan, S.2 (AUTHOR) dranandamurugan@gmail.com
Source: Theoretical & Applied Climatology. Nov2025, Vol. 156 Issue 11, p1-25. 25p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 189197957
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Hybrid deep learning with a fusion model of weather and soil-based multi-crop recommendations for improving crop sustainability.
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  Data: <searchLink fieldCode="AR" term="%22M%2C+Mohan%22">M, Mohan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> m.mohansan@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Anandamurugan%2C+S%2E%22">Anandamurugan, S.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> dranandamurugan@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Theoretical+%26+Applied+Climatology%22">Theoretical & Applied Climatology</searchLink>. Nov2025, Vol. 156 Issue 11, p1-25. 25p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=189197957
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        Value: 10.1007/s00704-025-05828-x
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      – Code: eng
        Text: English
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        PageCount: 25
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      – TitleFull: Hybrid deep learning with a fusion model of weather and soil-based multi-crop recommendations for improving crop sustainability.
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            – D: 01
              M: 11
              Text: Nov2025
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              Y: 2025
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