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.