Early Possible Detection of Downy Mildew in Cucumis sativus’ through Hyperspectral Image Analysis

Abstract

Hyperspectral Imaging has become an important method in monitoring vegetation and crops and producing information regarding onset of diseases. The availability of spectrometers in the market is not only costly but also requires standard-operating-procedures in using them. The use of Specim IQ, a handheld spectrometer with a wavelength-captivating-range of 400-1000 nm has been found to be optimistic in field-application with least complexity. In this paper, an early possible detection of downy mildew has been analysed through the difference in spectral distribution patterns through the reflectance-wavelength graph so that the well-advanced result may avert any significant damage over the visual eyes.