Development of capacitance based rubber tree latex system for white root disease detection / Ahmad Faiz Mohd Sampian

Development of capacitance based rubber tree latex system for white root disease detection / Ahmad Faiz Mohd Sampian

White root infection to rubber tree is a very common problem faced in rubber industry. Once the tree is infected, it will affect latex productivity and eventually died because of nutrient loss taken by the fungus. Detection method of this infection are usually done by expertise evaluation and a lab...

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Main Author: Mohd Sampian, Ahmad Faiz
Format: Thesis
Language:English
Published: 2017
Online Access:https://ir.uitm.edu.my/id/eprint/37576/1/37576.pdf
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spelling my-uitm-ir.375762023-01-26T08:00:11Z Development of capacitance based rubber tree latex system for white root disease detection / Ahmad Faiz Mohd Sampian 2017 Mohd Sampian, Ahmad Faiz White root infection to rubber tree is a very common problem faced in rubber industry. Once the tree is infected, it will affect latex productivity and eventually died because of nutrient loss taken by the fungus. Detection method of this infection are usually done by expertise evaluation and a lab test which is not accessible to every rubber tree planters. Thus, due to this fact, this work is done to investigate the detection of white root infection to a rubber tree via rubber latex by measuring its capacitance value with prototype console unit (PCU) developed. Based on the statistical analysis done to 100 normally distributed measurements for healthy and infected samples, there are discrimination between both samples. Discrimination can be seen visually in comparison between error bars and this finding is enforced with the value of paired samples test (p-value) equal to 0.000. An optimized classification model by using ANN is developed and neuron with hidden layer size of 2 is chosen as the best based on accuracy of 82.5% and 5 numbers of connections with threshold of 0.5. Completing this research, a visual interaction system based on optimized model is developed and tested. Based on the 30 samples for each group tested during validation, the system perform considerably good with 78.34% accuracy. 2017 Thesis https://ir.uitm.edu.my/id/eprint/37576/ https://ir.uitm.edu.my/id/eprint/37576/1/37576.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Hashim, Hadzli
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Hashim, Hadzli
description White root infection to rubber tree is a very common problem faced in rubber industry. Once the tree is infected, it will affect latex productivity and eventually died because of nutrient loss taken by the fungus. Detection method of this infection are usually done by expertise evaluation and a lab test which is not accessible to every rubber tree planters. Thus, due to this fact, this work is done to investigate the detection of white root infection to a rubber tree via rubber latex by measuring its capacitance value with prototype console unit (PCU) developed. Based on the statistical analysis done to 100 normally distributed measurements for healthy and infected samples, there are discrimination between both samples. Discrimination can be seen visually in comparison between error bars and this finding is enforced with the value of paired samples test (p-value) equal to 0.000. An optimized classification model by using ANN is developed and neuron with hidden layer size of 2 is chosen as the best based on accuracy of 82.5% and 5 numbers of connections with threshold of 0.5. Completing this research, a visual interaction system based on optimized model is developed and tested. Based on the 30 samples for each group tested during validation, the system perform considerably good with 78.34% accuracy.
format Thesis
qualification_level Master's degree
author Mohd Sampian, Ahmad Faiz
spellingShingle Mohd Sampian, Ahmad Faiz
Development of capacitance based rubber tree latex system for white root disease detection / Ahmad Faiz Mohd Sampian
author_facet Mohd Sampian, Ahmad Faiz
author_sort Mohd Sampian, Ahmad Faiz
title Development of capacitance based rubber tree latex system for white root disease detection / Ahmad Faiz Mohd Sampian
title_short Development of capacitance based rubber tree latex system for white root disease detection / Ahmad Faiz Mohd Sampian
title_full Development of capacitance based rubber tree latex system for white root disease detection / Ahmad Faiz Mohd Sampian
title_fullStr Development of capacitance based rubber tree latex system for white root disease detection / Ahmad Faiz Mohd Sampian
title_full_unstemmed Development of capacitance based rubber tree latex system for white root disease detection / Ahmad Faiz Mohd Sampian
title_sort development of capacitance based rubber tree latex system for white root disease detection / ahmad faiz mohd sampian
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2017
url https://ir.uitm.edu.my/id/eprint/37576/1/37576.pdf
_version_ 1783734432870432768

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