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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/70105

    Título
    Field-deployed spectroscopy from 350 to 2500 nm: a promising technique for early identification of powdery mildew disease (Erysiphe necator) in vineyards
    Autor
    Vélez, Sergio
    Barajas Tola, EnriqueAutoridad UVA
    Rubio Cano, José Antonio
    Pereira Obaya, Dimas
    Rodríguez Pérez, José Ramón
    Año del Documento
    2024
    Editorial
    MDPI
    Descripción
    Producción Científica
    Documento Fuente
    Agronomy, 2024, Vol. 14, Nº. 3, 634
    Résumé
    This study explores spectroscopy in the 350 to 2500 nm range for detecting powdery mildew (Erysiphe necator) in grapevine leaves, crucial for precision agriculture and sustainable vineyard management. In a controlled experimental vineyard setting, the spectral reflectance on leaves with varying infestation levels was measured using a FieldSpec 4 spectroradiometer during July and September. A detailed assessment was conducted following the guidelines recommended by the European and Mediterranean Plant Protection Organization (EPPO) to quantify the level of infestation; categorising leaves into five distinct grades based on the percentage of leaf surface area affected. Subsequently, spectral data were collected using a contact probe with a tungsten halogen bulb connected to the spectroradiometer, taking three measurements across different areas of each leaf. Partial Least Squares Regression (PLSR) analysis yielded coefficients of determination R2 = 0.74 and 0.71, and Root Mean Square Errors (RMSEs) of 12.1% and 12.9% for calibration and validation datasets, indicating high accuracy for early disease detection. Significant spectral differences were noted between healthy and infected leaves, especially around 450 nm and 700 nm for visible light, and 1050 nm, 1425 nm, 1650 nm, and 2250 nm for the near-infrared spectrum, likely due to tissue damage, chlorophyll degradation and water loss. Finally, the Powdery Mildew Vegetation Index (PMVI) was introduced, calculated as PMVI = (R755 − R675)/(R755 + R675), where R755 and R675 are the reflectances at 755 nm (NIR) and 675 nm (red), effectively estimating disease severity (R2 = 0.7). The study demonstrates that spectroscopy, combined with PMVI, provides a reliable, non-invasive method for managing powdery mildew and promoting healthier vineyards through precision agriculture practices.
    Materias (normalizadas)
    Plant diseases
    Plantas - Enfermedades y plagas
    Fungi
    Vegetation monitoring
    Uvas - Análisis
    Vid - Enfermedades y plagas
    Wine and wine making - Analysis
    Vinos y vinificación - Microbiología
    Plants - Effect of stress on
    Plantas, Efectos del estrés sobre las
    Pathogenic microorganisms - Detection
    Microorganismos patógenos - Detección
    Precision farming
    Agricultura - Innovaciones tecnológicas
    Agricultural innovations
    Vineyards
    Agronomy
    Materias Unesco
    3102 Ingeniería Agrícola
    3103 Agronomía
    3108 Fitopatología
    3108.05 Hongos
    ISSN
    2073-4395
    Revisión por pares
    SI
    DOI
    10.3390/agronomy14030634
    Patrocinador
    Ministerio de Ciencia, Innovación y Universidades, Centro para el Desarrollo Tecnológico y la Innovación (CDTI) - (projects 2018/879 y 2021/1168)
    VITICAMPO, SL - (grant id: 2021/00009/001; T132)
    Comisión Europea, Acciones Marie Skłodowska-Curie (MSCA), programa Horizon 2020, - (Grant 101034297)
    Version del Editor
    https://www.mdpi.com/2073-4395/14/3/634
    Propietario de los Derechos
    © 2024 The authors
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/70105
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
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    • DEP42 - Artículos de revista [291]
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    Field-Deployed-Spectroscopy.pdf
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