Enhancing assimilated soil moisture prediction from environmental data using advanced machine learning.
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| Title: | Enhancing assimilated soil moisture prediction from environmental data using advanced machine learning. |
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| Authors: | Arshad, Sana1,2 (AUTHOR), Ashraf, Amna1,2 (AUTHOR), Al-Dalahmeh, Main3 (AUTHOR), Harsanyi, Endre4,5 (AUTHOR), Mohammed, Safwan4,5 (AUTHOR) safwan@agr.unideb.hu |
| Source: | Environmental Systems Research. 12/24/2025, Vol. 14 Issue 1, p1-21. 21p. |
| Database: | Environment Complete |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: eih DbLabel: Environment Complete An: 191154754 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=eih&AN=191154754 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s40068-025-00451-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1 Titles: – TitleFull: Enhancing assimilated soil moisture prediction from environmental data using advanced machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Arshad, Sana – PersonEntity: Name: NameFull: Ashraf, Amna – PersonEntity: Name: NameFull: Al-Dalahmeh, Main – PersonEntity: Name: NameFull: Harsanyi, Endre – PersonEntity: Name: NameFull: Mohammed, Safwan IsPartOfRelationships: – BibEntity: Dates: – D: 24 M: 12 Text: 12/24/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 21932697 Numbering: – Type: volume Value: 14 – Type: issue Value: 1 Titles: – TitleFull: Environmental Systems Research Type: main |
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