Monitoring the Progression of Downy Mildew on Vineyards Using Multi-Temporal Unmanned Aerial Vehicle Multispectral Data DOI Creative Commons
Fernando Portela, Joaquim J. Sousa, Claudio Paredes

и другие.

Agronomy, Год журнала: 2025, Номер 15(4), С. 934 - 934

Опубликована: Апрель 11, 2025

Monitoring vineyard diseases such as downy mildew (Plasmopara viticola) is important for viticulture, enabling an early intervention and optimized disease management. This crucial monitoring, the use of high-spatial-resolution multispectral data from unmanned aerial vehicles (UAVs) can allow to a better understanding progression. study explores application UAV-based monitoring infection in vineyards through multi-temporal analysis. was conducted plot Vinho Verde region (Portugal), where 84 grapevines were monitored, half which received phytosanitary treatments while other left untreated this way during growing season. Seven UAV flights performed across different phenological stages assess effects using spectral bands, vegetation indices, morphometric parameters. The results indicate that affects canopy area, height, volume, restricting vegetative growth. Spectral analysis reveals infected show increased reflectance visible red-edge bands progressive decline near-infrared (NIR) reflectance. Several indices demonstrated suitable response infection, with some them being capable detecting early-stage symptoms, red edge NIR allowed us track These highlight potential remote sensing tool supporting precision viticulture assessment treatment effectiveness.

Язык: Английский

Monitoring the Progression of Downy Mildew on Vineyards Using Multi-Temporal Unmanned Aerial Vehicle Multispectral Data DOI Creative Commons
Fernando Portela, Joaquim J. Sousa, Claudio Paredes

и другие.

Agronomy, Год журнала: 2025, Номер 15(4), С. 934 - 934

Опубликована: Апрель 11, 2025

Monitoring vineyard diseases such as downy mildew (Plasmopara viticola) is important for viticulture, enabling an early intervention and optimized disease management. This crucial monitoring, the use of high-spatial-resolution multispectral data from unmanned aerial vehicles (UAVs) can allow to a better understanding progression. study explores application UAV-based monitoring infection in vineyards through multi-temporal analysis. was conducted plot Vinho Verde region (Portugal), where 84 grapevines were monitored, half which received phytosanitary treatments while other left untreated this way during growing season. Seven UAV flights performed across different phenological stages assess effects using spectral bands, vegetation indices, morphometric parameters. The results indicate that affects canopy area, height, volume, restricting vegetative growth. Spectral analysis reveals infected show increased reflectance visible red-edge bands progressive decline near-infrared (NIR) reflectance. Several indices demonstrated suitable response infection, with some them being capable detecting early-stage symptoms, red edge NIR allowed us track These highlight potential remote sensing tool supporting precision viticulture assessment treatment effectiveness.

Язык: Английский

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