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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.17368692 |
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| _version_ | 1866902282834018304 |
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| author | Shaikh, Sarang Mobeen, Noor E Abomhara, Mohamed Ballesteros, Rocio Arias-Calderón, Rocío YILDIRIM-YAYILGAN, SULE Moreno, Miguel A |
| author_facet | Shaikh, Sarang Mobeen, Noor E Abomhara, Mohamed Ballesteros, Rocio Arias-Calderón, Rocío YILDIRIM-YAYILGAN, SULE Moreno, Miguel A |
| contents | <p><span lang="EN-GB">This is a novel image dataset of grapevine leaves aimed at early detection and classification of <em><span>Plasmopara viticola</span></em>, the pathogen causing downy mildew in vineyards. The dataset consists of 281 high-resolution images, annotated into two classes: healthy and <em><span>Plasmopara</span></em>-infected leaves. Data were collected from vineyards in Spain and Norway to ensure diverse environmental conditions and maximize the dataset’s generalizability.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17368692 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | A dataset for early detection and classification of Plasmopara disease Shaikh, Sarang Mobeen, Noor E Abomhara, Mohamed Ballesteros, Rocio Arias-Calderón, Rocío YILDIRIM-YAYILGAN, SULE Moreno, Miguel A <p><span lang="EN-GB">This is a novel image dataset of grapevine leaves aimed at early detection and classification of <em><span>Plasmopara viticola</span></em>, the pathogen causing downy mildew in vineyards. The dataset consists of 281 high-resolution images, annotated into two classes: healthy and <em><span>Plasmopara</span></em>-infected leaves. Data were collected from vineyards in Spain and Norway to ensure diverse environmental conditions and maximize the dataset’s generalizability.</span></p> |
| title | A dataset for early detection and classification of Plasmopara disease |
| url | https://doi.org/10.5281/zenodo.17368692 |