Soil loss prediction on mobile platform using Universal Soil-Loss Equation (USLE) model

Indirect method for soil loss predictions are plentiful, one of which is Universal soil-loss equation (USLE) model. Available technology in mobile applications prompted the authors to develop a tool for calculating soil loss for many land types by transforming the USLE model into smart mobile appl...

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Main Authors: Rahim, Supli Efendi, Supli, Ahmad Affandi, Damiri, Nurhayati
Format: Article
Language:English
Published: EDP Sciences 2017
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Online Access:http://repo.uum.edu.my/27021/1/matecconf%2097%2001066%202017%201%208.pdf
http://repo.uum.edu.my/27021/
http://doi.org/10.1051/matecconf/20179701066
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Institution: Universiti Utara Malaysia
Language: English
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spelling my.uum.repo.270212020-05-17T07:01:27Z http://repo.uum.edu.my/27021/ Soil loss prediction on mobile platform using Universal Soil-Loss Equation (USLE) model Rahim, Supli Efendi Supli, Ahmad Affandi Damiri, Nurhayati QA76 Computer software Indirect method for soil loss predictions are plentiful, one of which is Universal soil-loss equation (USLE) model. Available technology in mobile applications prompted the authors to develop a tool for calculating soil loss for many land types by transforming the USLE model into smart mobile application. The application is designed by using simple language for calculating each and every factor and lastly summing up the results. Factors that are involved in the calculation of soil loss are namely erosivity, erodibility, slope steepness, length of slope, land cover and conservation measures. The program will also be able to give its judgment for each of the prediction of soil loss rates for each and every possible land uses ranging from very light to very heavy. The application is believed to be useful for land users, students, farmers, planners, companies and government officers. It is shown by conducting usability testing using usability model, which is designed for mobile application. The results the system in this study was in “very good” classification, for three characteristics (ease of use, user satisfaction, and learnability). Only attractiveness characteristic that falls into “good” classification. EDP Sciences 2017 Article PeerReviewed application/pdf en http://repo.uum.edu.my/27021/1/matecconf%2097%2001066%202017%201%208.pdf Rahim, Supli Efendi and Supli, Ahmad Affandi and Damiri, Nurhayati (2017) Soil loss prediction on mobile platform using Universal Soil-Loss Equation (USLE) model. MATEC Web of Conferences, 97. pp. 1-8. ISSN 2261-236X http://doi.org/10.1051/matecconf/20179701066 doi:10.1051/matecconf/20179701066
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutional Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Rahim, Supli Efendi
Supli, Ahmad Affandi
Damiri, Nurhayati
Soil loss prediction on mobile platform using Universal Soil-Loss Equation (USLE) model
description Indirect method for soil loss predictions are plentiful, one of which is Universal soil-loss equation (USLE) model. Available technology in mobile applications prompted the authors to develop a tool for calculating soil loss for many land types by transforming the USLE model into smart mobile application. The application is designed by using simple language for calculating each and every factor and lastly summing up the results. Factors that are involved in the calculation of soil loss are namely erosivity, erodibility, slope steepness, length of slope, land cover and conservation measures. The program will also be able to give its judgment for each of the prediction of soil loss rates for each and every possible land uses ranging from very light to very heavy. The application is believed to be useful for land users, students, farmers, planners, companies and government officers. It is shown by conducting usability testing using usability model, which is designed for mobile application. The results the system in this study was in “very good” classification, for three characteristics (ease of use, user satisfaction, and learnability). Only attractiveness characteristic that falls into “good” classification.
format Article
author Rahim, Supli Efendi
Supli, Ahmad Affandi
Damiri, Nurhayati
author_facet Rahim, Supli Efendi
Supli, Ahmad Affandi
Damiri, Nurhayati
author_sort Rahim, Supli Efendi
title Soil loss prediction on mobile platform using Universal Soil-Loss Equation (USLE) model
title_short Soil loss prediction on mobile platform using Universal Soil-Loss Equation (USLE) model
title_full Soil loss prediction on mobile platform using Universal Soil-Loss Equation (USLE) model
title_fullStr Soil loss prediction on mobile platform using Universal Soil-Loss Equation (USLE) model
title_full_unstemmed Soil loss prediction on mobile platform using Universal Soil-Loss Equation (USLE) model
title_sort soil loss prediction on mobile platform using universal soil-loss equation (usle) model
publisher EDP Sciences
publishDate 2017
url http://repo.uum.edu.my/27021/1/matecconf%2097%2001066%202017%201%208.pdf
http://repo.uum.edu.my/27021/
http://doi.org/10.1051/matecconf/20179701066
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