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	Provedor de dados Rev. Bras. Ciênc. Solo (1) AGRIAMBI (1) Autor Assis,Igor R. de (1) Ferreira,Celmo Aparecido (1) Pinto,Francisco A. C. (1) Rocha,Welington Willian (1) Santos,João F. C. dos (1) Silva,Alexandre Christófaro (1) Silva,Heider R. F. (1) Torrado,Pablo Vidal (1) Mais... Palavra-chave Soil color (2) HSV (1) Image processing (1) Iron oxides (1) Pale Oxisol (1) RGB (1) Soil classification (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2016 (1) 2010 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Genesis and classification of Oxisols in a highland toposequence of the upper Jequitinhonha Valley (MG) Rev. Bras. Ciênc. Solo Ferreira,Celmo Aparecido; Silva,Alexandre Christófaro; Torrado,Pablo Vidal; Rocha,Welington Willian. The Brazilian System of Soil Classification (SiBCS) is a taxonomic system, open and in permanent construction, as new knowledge on Brazilian soils is obtained. The objective of this study was to characterize the chemical, physical, morphological, micro-morphological and mineralogical properties of four pedons of Oxisols in a highland toposequence in the upper Jequitinhonha Valley, emphasizing aspects of their genesis, classification and landscape development. The pedons occupy the following slope positions: summit - Red Oxisol (LV), mid slope (upper third) - Yellow-Red Oxisol (LVA), lower slope (middle third)- Yellow Oxisol (LA) and bottom of the valley (lowest third) - "Gray Oxisol" ("LAC"). These pedons were described and sampled for characterization in... Tipo: Info:eu-repo/semantics/article Palavras-chave: Soil color; Iron oxides; Soil classification; Pale Oxisol. Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832010000100020 Use of digital images to estimate soil moisture AGRIAMBI Santos,João F. C. dos; Silva,Heider R. F.; Pinto,Francisco A. C.; Assis,Igor R. de. ABSTRACT The objective of this study was to analyze the relation between the moisture and the spectral response of the soil to generate prediction models. Samples with different moisture contents were prepared and photographed. The photographs were taken under homogeneous light condition and with previous correction for the white balance of the digital photograph camera. The images were processed for extraction of the median values in the Red, Green and Blue bands of the RGB color space; Hue, Saturation and Value of the HSV color space; and values of the digital numbers of a panchromatic image obtained from the RGB bands. The moisture of the samples was determined with the thermogravimetric method. Regression models were evaluated for each image type: RGB,... Tipo: Info:eu-repo/semantics/article Palavras-chave: Soil color; Image processing; RGB; HSV. Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016001201051 Registros recuperados: 2 Primeira ... 1 ... Última

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