Hyperspectral imaging for classification of healthy and gray mold diseased tomato leaves with different infection severities

•Spectral reflectance was used for classifying different types of samples.•Features ranking method performed excellently in effective wavelengths selection.•Early disease detection obtained the classification rate of 66.67%.•Selected wavebands can be used for designing a polychromatic detection camera.