| Title: | Enhancing water-deficient potato plant identification : assessing realistic performance of attention-based deep neural networks and hyperspectral imaging for agricultural applications |
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| Authors: | ID Lapajne, Janez (Author)
ID Vojnović, Ana (Author)
ID Vončina, Andrej (Author)
ID Žibrat, Uroš (Author) |
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| Files: |  PDF - Presentation file, download (4,55 MB)
MD5: 39D0537951C641D3950526167434F50E
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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: | hyperspectral imaging, deep learning, potato plant, water-deficiency, drought stress |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Publication date: | 11.07.2024 |
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| Year of publishing: | 2024 |
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| Number of pages: | str. 1-22 |
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| Numbering: | Vol. 13, iss. 8, art. 1918 |
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| UDC: | 631 |
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| ISSN on article: | 2223-7747 |
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| DOI: | 10.3390/plants13141918  |
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| COBISS.SI-ID: | 202132227 |
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| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 18. 7. 2024;
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| Publication date in DiRROS: | 29.10.2024 |
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| Views: | 74 |
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| Downloads: | 13 |
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| Metadata: |    |
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