Preliminary investigation on rice bran residue detection using ultraviolet fluorescence imaging

Abstract

Rice bran layer residue evaluation commonly investigated using invasive methods by using dye. The development of a non-invasive method to evaluate the bran layer residue will enable the implementation of the methods in the rice sorting machine. Characterization of the optical properties of the rice kernel is necessary to find the effective machine vision method and setup. In this research, a preliminary experiment to develop a suitable imaging method to detect bran layer residue has been done. The fluorescence EEM of different layers of rice kernel has been measured and compared. Fluorescence imaging using a single excitation wavelength at 280 nm and UV camera has been developed to detect the bran layer residue. The results show this method has the potential to be implemented for bran residue detection and milling degree prediction.