Rice quality assessment using fluorescence imaging technique

Grain rice quality is defined by various parameters including physical, biochemical and physiochemical properties. Most of the technology that have been developed only measure one quality characteristics at one time. More capability such as assessment of multiple quality parameters in one system is...

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Main Authors: Jahari, Mahirah, Dimas, F. A. R., Widodo, S., Suzuki, T., Ogawa, Y., Kondo, N.
Format: Conference or Workshop Item
Language:English
Published: Malaysian Society of Agricultural Engineers 2019
Online Access:http://psasir.upm.edu.my/id/eprint/76550/1/MSAEC-23.pdf
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author Jahari, Mahirah
Dimas, F. A. R.
Widodo, S.
Suzuki, T.
Ogawa, Y.
Kondo, N.
author_facet Jahari, Mahirah
Dimas, F. A. R.
Widodo, S.
Suzuki, T.
Ogawa, Y.
Kondo, N.
author_sort Jahari, Mahirah
collection UPM
description Grain rice quality is defined by various parameters including physical, biochemical and physiochemical properties. Most of the technology that have been developed only measure one quality characteristics at one time. More capability such as assessment of multiple quality parameters in one system is desirable. In this research, a machine vision with double lighting system has been developed to incorporate more features for the quality evaluation. The proposed machine vision system has the capability to obtain information related with morphological features and fluorescence color information of the rice simultaneously. Those features extracted from the image set were used to separate between non-white core, white core, chalky and dead sake rice with different freshness condition. This system shows promising result for separating difference type of rice with different freshness. These results provide an alternative way for quality grading technology for rice.
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spelling upm.eprints-765502020-02-05T04:21:22Z http://psasir.upm.edu.my/id/eprint/76550/ Rice quality assessment using fluorescence imaging technique Jahari, Mahirah Dimas, F. A. R. Widodo, S. Suzuki, T. Ogawa, Y. Kondo, N. Grain rice quality is defined by various parameters including physical, biochemical and physiochemical properties. Most of the technology that have been developed only measure one quality characteristics at one time. More capability such as assessment of multiple quality parameters in one system is desirable. In this research, a machine vision with double lighting system has been developed to incorporate more features for the quality evaluation. The proposed machine vision system has the capability to obtain information related with morphological features and fluorescence color information of the rice simultaneously. Those features extracted from the image set were used to separate between non-white core, white core, chalky and dead sake rice with different freshness condition. This system shows promising result for separating difference type of rice with different freshness. These results provide an alternative way for quality grading technology for rice. Malaysian Society of Agricultural Engineers 2019 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/76550/1/MSAEC-23.pdf Jahari, Mahirah and Dimas, F. A. R. and Widodo, S. and Suzuki, T. and Ogawa, Y. and Kondo, N. (2019) Rice quality assessment using fluorescence imaging technique. In: Konvensyen Kebangsaan Kejuruteraan Pertanian dan Makanan 2019, 21 Mac 2019, Wisma Tani, Kementerian Pertanian & Industri Asas Tani, Putrajaya. (pp. 152-155).
spellingShingle Jahari, Mahirah
Dimas, F. A. R.
Widodo, S.
Suzuki, T.
Ogawa, Y.
Kondo, N.
Rice quality assessment using fluorescence imaging technique
title Rice quality assessment using fluorescence imaging technique
title_full Rice quality assessment using fluorescence imaging technique
title_fullStr Rice quality assessment using fluorescence imaging technique
title_full_unstemmed Rice quality assessment using fluorescence imaging technique
title_short Rice quality assessment using fluorescence imaging technique
title_sort rice quality assessment using fluorescence imaging technique
url http://psasir.upm.edu.my/id/eprint/76550/1/MSAEC-23.pdf
work_keys_str_mv AT jaharimahirah ricequalityassessmentusingfluorescenceimagingtechnique
AT dimasfar ricequalityassessmentusingfluorescenceimagingtechnique
AT widodos ricequalityassessmentusingfluorescenceimagingtechnique
AT suzukit ricequalityassessmentusingfluorescenceimagingtechnique
AT ogaway ricequalityassessmentusingfluorescenceimagingtechnique
AT kondon ricequalityassessmentusingfluorescenceimagingtechnique