id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_iah5f2ihj5fi5pcs6am4yfb2jq	Bruno Urbano Rodrigues	Cachaça Classification Using Chemical Features and Computer Vision	2014.0	10	.pdf	application/pdf	4447	445	61	of wood and the aging time using information from a computer vision system and chemical of types of wood and the time that cachaça aging has in the color model obtained from digital As in chemical analysis, the properties of the CIELab and RGB color models have been Table 4: Recognition results of chemical features in neural network. chemical attributes, RGB and CIELab to the problem of classifying the type of wood and aging Figure 2: The Fisher Discriminability in wood type and aging time problem, using chemical Table 8: Recognition results of chemical features using color model CIELab in neural network. Table 9: Recognition results of chemical features using color model CIELab in k-NN. CIELab. Problem Aging time Wood type Table 11: Recognition results of chemical features using color model CIELab and RGB in Table 11: Recognition results of chemical features using color model CIELab and RGB in	./cache/work_iah5f2ihj5fi5pcs6am4yfb2jq.pdf	./txt/work_iah5f2ihj5fi5pcs6am4yfb2jq.txt