Data/hora: 10/06/2024 00:40:42

Provedor de dados: 	91	
País: 	Brazil	
Título: 	Use of digital images to estimate soil moisture	
Autores: 	Santos,João F. C. dos; Silva,Heider R. F.; Pinto,Francisco A. C.; Assis,Igor R. de.	
Data: 	2016-12-01	
Ano: 	2016	
Palavras-chave: 	Soil color; Image processing; RGB; HSV.	
Resumo: 	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, HSV and panchromatic. It was observed the darkening of the soil with the increase of moisture. For each type of soil, a model with best fit was observed and to use these models for prediction purposes, it is necessary to choose the model with best fit in advance, according to the soil characteristics. Soil moisture estimation as a function of its spectral response by digital image processing proves promising.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016001201051	
Editor: 	Departamento de Engenharia Agrícola  - UFCG	
Relação: 	10.1590/1807-1929/agriambi.v20n12p1051-1056	
Formato: 	text/html	
Fonte: 	Revista Brasileira de Engenharia Agrícola e Ambiental  v.20 n.12 2016	
Fonte: 	info:eu-repo/semantics/openAccess