An approach to estimate moisture content of paddy rice via thermal imaging

Machine visions are being increasingly applied as an automated, non-destructive and cost effective technique to investigate the quality inspection of agricultural products. This study focuses on the use of thermal imager to evaluate the moisture content of paddy rice. In this paper, the mean intensi...

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Main Authors: Farid, Mahboubeh, Bejo, Siti Khairunniza, Azman, Norsolehah
Format: Article
Language:English
Published: WFL Publisher 2014
Online Access:http://psasir.upm.edu.my/id/eprint/36392/1/An%20approach%20to%20estimate%20moisture%20content%20of%20paddy%20rice%20via%20thermal%20imaging.pdf
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author Farid, Mahboubeh
Bejo, Siti Khairunniza
Azman, Norsolehah
author_facet Farid, Mahboubeh
Bejo, Siti Khairunniza
Azman, Norsolehah
author_sort Farid, Mahboubeh
collection UPM
description Machine visions are being increasingly applied as an automated, non-destructive and cost effective technique to investigate the quality inspection of agricultural products. This study focuses on the use of thermal imager to evaluate the moisture content of paddy rice. In this paper, the mean intensity of gray level image is considered as the index for predicting moisture content. This new technique enables us to increase the accuracy level of detecting moisture content and analysing information gathered from the image. A suitable nonlinear model for predicting moisture content through mean intensity of gray level image is also proposed in this study. The findings indicate that the approach is promising and yielding the promising result.
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spelling upm.eprints-363922015-09-15T03:54:15Z http://psasir.upm.edu.my/id/eprint/36392/ An approach to estimate moisture content of paddy rice via thermal imaging Farid, Mahboubeh Bejo, Siti Khairunniza Azman, Norsolehah Machine visions are being increasingly applied as an automated, non-destructive and cost effective technique to investigate the quality inspection of agricultural products. This study focuses on the use of thermal imager to evaluate the moisture content of paddy rice. In this paper, the mean intensity of gray level image is considered as the index for predicting moisture content. This new technique enables us to increase the accuracy level of detecting moisture content and analysing information gathered from the image. A suitable nonlinear model for predicting moisture content through mean intensity of gray level image is also proposed in this study. The findings indicate that the approach is promising and yielding the promising result. WFL Publisher 2014-01 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/36392/1/An%20approach%20to%20estimate%20moisture%20content%20of%20paddy%20rice%20via%20thermal%20imaging.pdf Farid, Mahboubeh and Bejo, Siti Khairunniza and Azman, Norsolehah (2014) An approach to estimate moisture content of paddy rice via thermal imaging. Journal of Food, Agriculture and Environment, 12 (1). pp. 188-191. ISSN 1459-0255; ESSN: 1459-0263 http://world-food.net/an-approach-to-estimate-moisture-content-of-paddy-rice-via-thermal-imaging/
spellingShingle Farid, Mahboubeh
Bejo, Siti Khairunniza
Azman, Norsolehah
An approach to estimate moisture content of paddy rice via thermal imaging
title An approach to estimate moisture content of paddy rice via thermal imaging
title_full An approach to estimate moisture content of paddy rice via thermal imaging
title_fullStr An approach to estimate moisture content of paddy rice via thermal imaging
title_full_unstemmed An approach to estimate moisture content of paddy rice via thermal imaging
title_short An approach to estimate moisture content of paddy rice via thermal imaging
title_sort approach to estimate moisture content of paddy rice via thermal imaging
url http://psasir.upm.edu.my/id/eprint/36392/1/An%20approach%20to%20estimate%20moisture%20content%20of%20paddy%20rice%20via%20thermal%20imaging.pdf
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