| Title: | Field-scale UAV-based multispectral phenomics: : Leveraging machine learning, explainable AI, and hybrid feature engineering for enhancements in potato phenotyping |
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| Authors: | ID Lapajne, Janez (Author)
ID Vončina, Andrej (Author)
ID Vojnović, Ana (Author)
ID Donša, Daša (Author)
ID Dolničar, Peter (Author)
ID Žibrat, Uroš (Author) |
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| Files: |  URL - Source URL, visit https://www.sciencedirect.com/science/article/pii/S0168169924011372?via%3Dihub
 PDF - Presentation file, download (7,87 MB)
MD5: FFB77DAD8E6BBA002EAB0067A29311F2
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  KIS - Agricultural Institute of Slovenia
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| Keywords: | Multispectral imaging, Potato research, Machine learning, Interpretability techniques |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Publication date: | 07.12.2024 |
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| Year of publishing: | 2025 |
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| Number of pages: | str. 1-7 |
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| Numbering: | Vol. 229, Art. no. ǂ109746 |
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| PID: | 20.500.12556/DiRROS-20958  |
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| UDC: | 631 |
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| ISSN on article: | 1872-7107 |
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| DOI: | 10.1016/j.compag.2024.109746 |
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| COBISS.SI-ID: | 218449667 |
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| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 10. 12. 2024;
Št. članka: 109746;
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| Publication date in DiRROS: | 10.12.2024 |
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| Views: | 763 |
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| Downloads: | 438 |
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| Metadata: |    |
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