RT info:eu-repo/semantics/article
T1 Field-deployed spectroscopy from 350 to 2500 nm: a promising technique for early identification of powdery mildew disease (Erysiphe necator) in vineyards
A1 Vélez, Sergio
A1 Barajas Tola, Enrique
A1 Rubio Cano, José Antonio
A1 Pereira Obaya, Dimas
A1 Rodríguez Pérez, José Ramón
K1 Plant diseases
K1 Plantas - Enfermedades y plagas
K1 Fungi
K1 Vegetation monitoring
K1 Uvas - Análisis
K1 Vid - Enfermedades y plagas
K1 Wine and wine making - Analysis
K1 Vinos y vinificación - Microbiología
K1 Plants - Effect of stress on
K1 Plantas, Efectos del estrés sobre las
K1 Pathogenic microorganisms - Detection
K1 Microorganismos patógenos - Detección
K1 Precision farming
K1 Agricultura - Innovaciones tecnológicas
K1 Agricultural innovations
K1 Vineyards
K1 Agronomy
K1 3102 Ingeniería Agrícola
K1 3103 Agronomía
K1 3108 Fitopatología
K1 3108.05 Hongos
AB 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.
PB MDPI
SN 2073-4395
YR 2024
FD 2024
LK https://uvadoc.uva.es/handle/10324/70105
UL https://uvadoc.uva.es/handle/10324/70105
LA eng
NO Agronomy, 2024, Vol. 14, Nº. 3, 634
NO Producción Científica
DS UVaDOC
RD 09-ene-2025