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Mango is one of the main fruits grown in the country, being Mexico the main world exporter of fresh produce. However in the processing industry mango ripeness has to be detected. The present paper illustrates the use of multispectral imaging in the prediction of mango ripeness. An Agro-Imager radiometer was used to sample each fruit once the main discriminant bands were detected. Several algorithms were tested searching for a high accuracy and encouraging results were obtained. Green, yellow and red color were sampled with a camera and correlated against BRIX and mango firmness.