Made available in DSpace on 2019-10-06T15:45:59Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-01-01; For the first time in literature, an analytical method was developed using artificial neural networks (ANNs) combined with color information from digital images to predict the content of sugarcane stalks in the presence of a solid impurity. The data were generated using a laboratory-made simple imaging ...
Made available in DSpace on 2018-12-11T16:49:15Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-07-01; Fundação para o Desenvolvimento da UNESP (FUNDUNESP); In this method, a numerical matrix comprised of ten color scales (RGB, HSV, L, and rgb) as independent variables from digitalized images was used as a proof of concept for the prediction of the mass, apparent volume, and bulk density parameters of gr...