Intelligent paddy rice color recognition suitable for harvesting / Athirah A.Rahim

This paper presents an automatic recognition of paddy rice color using RGB color extraction. In this work, five sets of paddy rice images from paddy field at Kampung Tua, Semanggol Perak are digitally captured at ICS (Image Capturing Studio) room. The identified regions of interest (ROI) of these pa...

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Main Author:	A.Rahim, Athirah
Format:	Thesis
Language:	English
Published:	2007
Subjects:	Application software
Online Access:	https://ir.uitm.edu.my/id/eprint/102775/1/102775.pdf
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id	my-uitm-ir.102775
record_format	uketd_dc
spelling	my-uitm-ir.1027752024-11-19T09:01:01Z Intelligent paddy rice color recognition suitable for harvesting / Athirah A.Rahim 2007 A.Rahim, Athirah Application software This paper presents an automatic recognition of paddy rice color using RGB color extraction. In this work, five sets of paddy rice images from paddy field at Kampung Tua, Semanggol Perak are digitally captured at ICS (Image Capturing Studio) room. The identified regions of interest (ROI) of these paddy's images are processed to quantify the reflectance indices in RGB color model. Paddy rice images are then processed to produce the dominant RGB pixel indices in the primary color model. These reflectance indices gained under standard and controlled environment are then used to design a ANN diagnosis model for paddy rice using MATLAB software. The optimized model is evaluated and validated through analysis of the performance indicators regularly applied in classification models. From the findings, this work has shown that the best model has produced percentage accuracy of 88.75%, 92% specificity and 85.5% sensitivity when measured at 0.1 threshold with a balanced percentage rate of training dataset 2007 Thesis https://ir.uitm.edu.my/id/eprint/102775/ https://ir.uitm.edu.my/id/eprint/102775/1/102775.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Application software
spellingShingle	Application software A.Rahim, Athirah Intelligent paddy rice color recognition suitable for harvesting / Athirah A.Rahim
description	This paper presents an automatic recognition of paddy rice color using RGB color extraction. In this work, five sets of paddy rice images from paddy field at Kampung Tua, Semanggol Perak are digitally captured at ICS (Image Capturing Studio) room. The identified regions of interest (ROI) of these paddy's images are processed to quantify the reflectance indices in RGB color model. Paddy rice images are then processed to produce the dominant RGB pixel indices in the primary color model. These reflectance indices gained under standard and controlled environment are then used to design a ANN diagnosis model for paddy rice using MATLAB software. The optimized model is evaluated and validated through analysis of the performance indicators regularly applied in classification models. From the findings, this work has shown that the best model has produced percentage accuracy of 88.75%, 92% specificity and 85.5% sensitivity when measured at 0.1 threshold with a balanced percentage rate of training dataset
format	Thesis
qualification_level	Bachelor degree
author	A.Rahim, Athirah
author_facet	A.Rahim, Athirah
author_sort	A.Rahim, Athirah
title	Intelligent paddy rice color recognition suitable for harvesting / Athirah A.Rahim
title_short	Intelligent paddy rice color recognition suitable for harvesting / Athirah A.Rahim
title_full	Intelligent paddy rice color recognition suitable for harvesting / Athirah A.Rahim
title_fullStr	Intelligent paddy rice color recognition suitable for harvesting / Athirah A.Rahim
title_full_unstemmed	Intelligent paddy rice color recognition suitable for harvesting / Athirah A.Rahim
title_sort	intelligent paddy rice color recognition suitable for harvesting / athirah a.rahim
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2007
url	https://ir.uitm.edu.my/id/eprint/102775/1/102775.pdf
_version_	1818588052756365312

Intelligent paddy rice color recognition suitable for harvesting / Athirah A.Rahim

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