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Colour spaces for paddy soil moisture content determination

A study using RGB, HSV and CIELUV colour spaces was conducted to determine the paddy soil moisture content at two different soil depths. Results from the experiment showed that each layer of soil gave a different soil colour as the soil moisture content varies with the depth of the soil layer. By co...

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Main Authors: Sumgap, Nor Hafizah, Bejo, Siti Khairunniza
Format: Article
Language:English
Published: Malaysian Agricultural Research and Development Institute (MARDI) 2011
Online Access:http://psasir.upm.edu.my/id/eprint/23189/1/Colour%20spaces%20for%20paddy%20soil%20moisture%20content%20determination.pdf
http://psasir.upm.edu.my/id/eprint/23189/
http://ejtafs.mardi.gov.my/index.php/publication/issues/archive/25-2011/volume-39-no1/38-390112
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spelling my.upm.eprints.231892016-10-10T05:01:52Z http://psasir.upm.edu.my/id/eprint/23189/ Colour spaces for paddy soil moisture content determination Sumgap, Nor Hafizah Bejo, Siti Khairunniza A study using RGB, HSV and CIELUV colour spaces was conducted to determine the paddy soil moisture content at two different soil depths. Results from the experiment showed that each layer of soil gave a different soil colour as the soil moisture content varies with the depth of the soil layer. By comparing the result of laboratory work with the result of image processing technique, it was shown that 15 cm depth soil which had higher moisture content gave a lower value of mean pixel intensity compared to the surface soil. When the digital images of soil were transformed to HSV (USGS Munsell), a colour space commonly used to represent soil colour, the result showed that the mean pixel intensity was not consistent for each soil layer. To overcome this problem, the RGB and CIELUV colour spaces were used. The CIELUV colour space gave more consistent mean pixel intensity for each soil layer. It successfully indicated that lower moisture content will give higher value of mean pixel intensity. Results from statistical analysis also showed that RGB and CIELUV colour spaces were significantly related to the soil moisture content. CIELUV gave the highest value of correlation at –0.548 and a smaller value of RMSE in linear regression analysis. Malaysian Agricultural Research and Development Institute (MARDI) 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/23189/1/Colour%20spaces%20for%20paddy%20soil%20moisture%20content%20determination.pdf Sumgap, Nor Hafizah and Bejo, Siti Khairunniza (2011) Colour spaces for paddy soil moisture content determination. Journal of Tropical Agriculture and Food Science, 39 (1). pp. 1-13. ISSN 1394-9829; ESSN: 2289-9650 http://ejtafs.mardi.gov.my/index.php/publication/issues/archive/25-2011/volume-39-no1/38-390112
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description A study using RGB, HSV and CIELUV colour spaces was conducted to determine the paddy soil moisture content at two different soil depths. Results from the experiment showed that each layer of soil gave a different soil colour as the soil moisture content varies with the depth of the soil layer. By comparing the result of laboratory work with the result of image processing technique, it was shown that 15 cm depth soil which had higher moisture content gave a lower value of mean pixel intensity compared to the surface soil. When the digital images of soil were transformed to HSV (USGS Munsell), a colour space commonly used to represent soil colour, the result showed that the mean pixel intensity was not consistent for each soil layer. To overcome this problem, the RGB and CIELUV colour spaces were used. The CIELUV colour space gave more consistent mean pixel intensity for each soil layer. It successfully indicated that lower moisture content will give higher value of mean pixel intensity. Results from statistical analysis also showed that RGB and CIELUV colour spaces were significantly related to the soil moisture content. CIELUV gave the highest value of correlation at –0.548 and a smaller value of RMSE in linear regression analysis.
format Article
author Sumgap, Nor Hafizah
Bejo, Siti Khairunniza
spellingShingle Sumgap, Nor Hafizah
Bejo, Siti Khairunniza
Colour spaces for paddy soil moisture content determination
author_facet Sumgap, Nor Hafizah
Bejo, Siti Khairunniza
author_sort Sumgap, Nor Hafizah
title Colour spaces for paddy soil moisture content determination
title_short Colour spaces for paddy soil moisture content determination
title_full Colour spaces for paddy soil moisture content determination
title_fullStr Colour spaces for paddy soil moisture content determination
title_full_unstemmed Colour spaces for paddy soil moisture content determination
title_sort colour spaces for paddy soil moisture content determination
publisher Malaysian Agricultural Research and Development Institute (MARDI)
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/23189/1/Colour%20spaces%20for%20paddy%20soil%20moisture%20content%20determination.pdf
http://psasir.upm.edu.my/id/eprint/23189/
http://ejtafs.mardi.gov.my/index.php/publication/issues/archive/25-2011/volume-39-no1/38-390112
_version_ 1643827984361062400
score 13.211869

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