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...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Malaysian Society of Agricultural Engineers
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/76550/ http://psasir.upm.edu.my/id/eprint/76550/1/MSAEC-23.pdf |
| _version_ | 1848857999713501184 |
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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 |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T12:06:28Z |
| format | Conference or Workshop Item |
| id | upm-76550 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:06:28Z |
| publishDate | 2019 |
| publisher | Malaysian Society of Agricultural Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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/ http://psasir.upm.edu.my/id/eprint/76550/1/MSAEC-23.pdf |