In this post we present an application case of spectroscopy in the fruits and vegetables industry. The combination of reflectance spectroscopy measurements in the visible and near infrared (NIR) spectrum and an artificial neural network is employed to distinguish between branches (foreign bodies, a relevant problem in the agrifood sector) and green beans for two different types of beans: round (Phaseolus vulgaris) and flat (Phaseolus coccineus). Good results are achieved, especially in the visible spectrum, demonstrating the potential of spectroscopy.
