STAF-Net: An Innovative Framework for Wheat Yield Prediction.
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| Title: | STAF-Net: An Innovative Framework for Wheat Yield Prediction. |
|---|---|
| Authors: | El Ayyadi, Mohamed1, Meghraoui, Khadija1, El Hamdani, Maryam2, Bensiali, Saloua2,3, Lozzi, Assia2,4, Sebari, Imane1,5 |
| Source: | International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2025, Vol. 48 Issue 4/W19, p45-53, 9p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 192433014 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=192433014 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5194/isprs-archives-XLVIII-4-W19-2025-45-2026 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 45 Titles: – TitleFull: STAF-Net: An Innovative Framework for Wheat Yield Prediction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: El Ayyadi, Mohamed – PersonEntity: Name: NameFull: Meghraoui, Khadija – PersonEntity: Name: NameFull: El Hamdani, Maryam – PersonEntity: Name: NameFull: Bensiali, Saloua – PersonEntity: Name: NameFull: Lozzi, Assia – PersonEntity: Name: NameFull: Sebari, Imane IsPartOfRelationships: – BibEntity: Dates: – D: 10 M: 11 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 16821750 Numbering: – Type: volume Value: 48 – Type: issue Value: 4/W19 Titles: – TitleFull: International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences Type: main |
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