Digital image analysis used to estimate soil moisture / Muhamad Hasrol Rizan

Soil moisture is the assessment of the amount of water in liquid or gaseous state, present in the soil porous space at a given time. Soil moisture directly influences the yield of a crop because it is related to important hydrological processes such as infiltration rate, surface runoff and evapotran...

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Main Author: Rizan, Muhamad Hasrol
Format: Student Project
Language:English
Published: Faculty of Plantation and Agrotechnology 2018
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/22677/1/22677.pdf
http://ir.uitm.edu.my/id/eprint/22677/
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spelling my.uitm.ir.226772020-07-29T07:49:18Z http://ir.uitm.edu.my/id/eprint/22677/ Digital image analysis used to estimate soil moisture / Muhamad Hasrol Rizan Rizan, Muhamad Hasrol S Agriculture (General) Soils. Soil science. Including soil surveys, soil chemistry, soil structure, soil-plant relationships Soil moisture is the assessment of the amount of water in liquid or gaseous state, present in the soil porous space at a given time. Soil moisture directly influences the yield of a crop because it is related to important hydrological processes such as infiltration rate, surface runoff and evapotranspiration. For different water contents, the electromagnetic energy reflected by the soil surface is viewed as different tones of a color space. The digital camera will extract these different tones of a color space to the Red, Green and Blue band. The purpose of this study was to analyse the relationship between the soil moisture and the digital image response of the soil. Samples with different series and depth level were prepared and photographed. The photographs were taken under homogenous light condition. The images were processed for extraction of the mean values in the Red, Green and Blue bands of the RGB colour space. The moisture of the samples was determined with the gravimetric moisture (U(%)). It was observed that the darkening of the soil will increase with the increment of the moisture. For general spectral characteristic, the soils reflected more the red band, followed by green and blue. The result collected using digital image processing shows that mean of RGB colour space relates to the soil moisture. Results from statistical analysis showed that Red band with -0.068 is the nearest negatively correlated to the soil moisture content. As the recommendation upon the result obtained from the experiment, increasing the number of soil sample for an area and compaction of the soil sample during photographed to minimize the effect of shading by the edge of container in order to improve result that will be obtain in future. Faculty of Plantation and Agrotechnology 2018 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/22677/1/22677.pdf Rizan, Muhamad Hasrol (2018) Digital image analysis used to estimate soil moisture / Muhamad Hasrol Rizan. [Student Project] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic S Agriculture (General)
Soils. Soil science. Including soil surveys, soil chemistry, soil structure, soil-plant relationships
spellingShingle S Agriculture (General)
Soils. Soil science. Including soil surveys, soil chemistry, soil structure, soil-plant relationships
Rizan, Muhamad Hasrol
Digital image analysis used to estimate soil moisture / Muhamad Hasrol Rizan
description Soil moisture is the assessment of the amount of water in liquid or gaseous state, present in the soil porous space at a given time. Soil moisture directly influences the yield of a crop because it is related to important hydrological processes such as infiltration rate, surface runoff and evapotranspiration. For different water contents, the electromagnetic energy reflected by the soil surface is viewed as different tones of a color space. The digital camera will extract these different tones of a color space to the Red, Green and Blue band. The purpose of this study was to analyse the relationship between the soil moisture and the digital image response of the soil. Samples with different series and depth level were prepared and photographed. The photographs were taken under homogenous light condition. The images were processed for extraction of the mean values in the Red, Green and Blue bands of the RGB colour space. The moisture of the samples was determined with the gravimetric moisture (U(%)). It was observed that the darkening of the soil will increase with the increment of the moisture. For general spectral characteristic, the soils reflected more the red band, followed by green and blue. The result collected using digital image processing shows that mean of RGB colour space relates to the soil moisture. Results from statistical analysis showed that Red band with -0.068 is the nearest negatively correlated to the soil moisture content. As the recommendation upon the result obtained from the experiment, increasing the number of soil sample for an area and compaction of the soil sample during photographed to minimize the effect of shading by the edge of container in order to improve result that will be obtain in future.
format Student Project
author Rizan, Muhamad Hasrol
author_facet Rizan, Muhamad Hasrol
author_sort Rizan, Muhamad Hasrol
title Digital image analysis used to estimate soil moisture / Muhamad Hasrol Rizan
title_short Digital image analysis used to estimate soil moisture / Muhamad Hasrol Rizan
title_full Digital image analysis used to estimate soil moisture / Muhamad Hasrol Rizan
title_fullStr Digital image analysis used to estimate soil moisture / Muhamad Hasrol Rizan
title_full_unstemmed Digital image analysis used to estimate soil moisture / Muhamad Hasrol Rizan
title_sort digital image analysis used to estimate soil moisture / muhamad hasrol rizan
publisher Faculty of Plantation and Agrotechnology
publishDate 2018
url http://ir.uitm.edu.my/id/eprint/22677/1/22677.pdf
http://ir.uitm.edu.my/id/eprint/22677/
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score 13.18916