Abstract
In this project, we propose the development of Artificial Neural Networks (ANNs) and Random Forests as alternative tools to classify legume grains from digital images. In particular, the color characteristics of the images of samples of beans, soybeans, corn and chickpeas will be used, as well as the apparent density of the grains, to create a database that will be used for training the m…