Anomaly Detection in Fruits using Hyperspectral Images IJTSRD
One of the biggest problems in hyper spectral image analysis is the wavelength selection because of the immense amount of hypercube data. In this paper, we introduce an approach to find out the optimal wavelength selection in predicting the quality of the fruit. Hyper spectral imaging was built with spectral region of 400nm to 1000nm […]