Abstract
We propose the development of Artificial Neural Networks (RNAS) as an alternative tool to estimate the fraction of impurities in mixtures of sugarcane, soil and plant material, from digital images of samples of these mixtures in different proportions. The ability to learn through examples and generalize the information learned is undoubtedly the main attraction of problem solving through …