Monitoring the Progression of Downy Mildew on Vineyards Using Multi-Temporal Unmanned Aerial Vehicle Multispectral Data Article Swipe
Fernando Portela
,
Joaquim J. Sousa
,
Claudio Paredes
,
Emanuel Peres
,
Raul Morais
,
Luís Pádua
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/agronomy15040934
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/agronomy15040934
Monitoring vineyard diseases such as downy mildew (Plasmopara viticola) is important for viticulture, enabling an early intervention and optimized disease management. This is crucial for disease monitoring, and the use of high-spatial-resolution multispectral data from unmanned aerial vehicles (UAVs) can allow to for a better understanding of disease progression. This study explores the application of UAV-based multispectral data for monitoring downy mildew infection in vineyards through multi-temporal analysis. This study was conducted in a vineyard plot in the Vinho Verde region (Portugal), where 84 grapevines were monitored, half of which received phytosanitary treatments while the other half were left untreated in this way during the growing season. Seven UAV flights were performed across different phenological stages to assess the effects of infection using spectral bands, vegetation indices, and morphometric parameters. The results indicate that downy mildew affects canopy area, height, and volume, restricting the vegetative growth. Spectral analysis reveals that infected grapevines show increased reflectance in the visible and red-edge bands and a progressive decline in near-infrared (NIR) reflectance. Several vegetation indices demonstrated a suitable response to the infection, with some of them being capable of detecting early-stage symptoms, while vegetation indices using red edge and NIR allowed us to track disease progression. These results highlight the potential of UAV-based multi-temporal remote sensing as a tool for vineyard disease monitoring, supporting precision viticulture and the assessment of phytosanitary treatment effectiveness.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/agronomy15040934
- https://www.mdpi.com/2073-4395/15/4/934/pdf?version=1744364562
- OA Status
- gold
- Cited By
- 3
- References
- 101
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409367954
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4409367954Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/agronomy15040934Digital Object Identifier
- Title
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Monitoring the Progression of Downy Mildew on Vineyards Using Multi-Temporal Unmanned Aerial Vehicle Multispectral DataWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-04-11Full publication date if available
- Authors
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Fernando Portela, Joaquim J. Sousa, Claudio Paredes, Emanuel Peres, Raul Morais, Luís PáduaList of authors in order
- Landing page
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https://doi.org/10.3390/agronomy15040934Publisher landing page
- PDF URL
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https://www.mdpi.com/2073-4395/15/4/934/pdf?version=1744364562Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2073-4395/15/4/934/pdf?version=1744364562Direct OA link when available
- Concepts
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Downy mildew, Multispectral image, Remote sensing, Aerial survey, Environmental science, Aerial photos, Georeference, Aerial photography, Geography, Biology, Botany, Physical geographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
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101Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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