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2 December 2020 Visible and near-infrared spectroscopy for detection of powdery mildew in Cucurbita pepo L. leaves
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Cucurbits plants are very susceptible to fungal diseases as powdery mildew (PM) infection. Currently, the PM early detection in the field is the cutting-edge research. The objectives of our study were to assess visible and near-infrared spectroscopy of normal and infected leaves for early detection of PM in Cucurbita pepo L. plants. Samples for spectral analysis were taken three days a week (Monday, Wednesday, and Friday) after the first true leaves appeared. The reflectance spectra of leaves were collected using an HR4000CG-UV-NIR spectrometer (Ocean Optics) with a fiber optics probe. Vegetative indices were used for discrimination between infected and healthy plants. The calculated vegetation indices (green normalized difference vegetation index, triangular greenness index, single-band reflectance index, simple ratio indices, and anthocyanins reflectance index) showed the highest sensitivity to differentiate healthy, infected plants at a symptomless stage, first symptoms, and diseased plants. The best prediction on early detection in sampling days were structure-independent pigment index and red-edge reflection point with an R of 0.211 and 0.1893, respectively. Our study shows the efficacy of the identification based on reflectance spectra for an early distinction of PM disease and could be used in cucurbits plants with similar characteristics on leaves.

© 2020 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2020/$28.00 © 2020 SPIE
Claudia Angelica Rivera-Romero, Elvia Ruth Palacios-Hernández, Mónica Trejo-Durán, Maria del Carmen Rodríguez-Liñán, Roberto Olivera-Reyna, and Jorge Alberto Morales-Saldaña "Visible and near-infrared spectroscopy for detection of powdery mildew in Cucurbita pepo L. leaves," Journal of Applied Remote Sensing 14(4), 044515 (2 December 2020).
Received: 28 January 2020; Accepted: 13 November 2020; Published: 2 December 2020

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