Paddy grading using thermal imaging technology

Rice production depends on good quality of paddy. In this research, the capability of thermal imaging to determine the quality of paddy based on the properties used in a Deduction Schedule namely moisture content, immature condition and foreign material is presented. First, the heating and cooling t...

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Main Authors: Bejo, Siti Khairunniza, Azman, Norsolehah, Jamil, Norazlida
Format: Article
Language:English
Published: Faculty of Food Science and Technology, Universiti Putra Malaysia 2016
Online Access:http://psasir.upm.edu.my/id/eprint/50551/
http://psasir.upm.edu.my/id/eprint/50551/1/%2835%29%20%20IFRJ-16427%20Bejo-Khairunniza.pdf
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author Bejo, Siti Khairunniza
Azman, Norsolehah
Jamil, Norazlida
author_facet Bejo, Siti Khairunniza
Azman, Norsolehah
Jamil, Norazlida
author_sort Bejo, Siti Khairunniza
building UPM Institutional Repository
collection Online Access
description Rice production depends on good quality of paddy. In this research, the capability of thermal imaging to determine the quality of paddy based on the properties used in a Deduction Schedule namely moisture content, immature condition and foreign material is presented. First, the heating and cooling treatment was applied to the samples. FLIR E60 thermal camera was used to acquire images of the sample. Therefore, each samples were represented by a thermal index calculated based on the average value of pixels in the thermal image. Results of the experiment have shown that highly significant relationship were exist between thermal index and maturity stage and moisture content of paddy with r = -0.948 and 0.896, respectively. It also worked well in detecting foreign material (chaff) at 25s after cooling. The method gave accurate results with 92% for moisture content determination, 90% for maturity stage prediction and 100% for chaff detection.
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publishDate 2016
publisher Faculty of Food Science and Technology, Universiti Putra Malaysia
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spelling upm-505512017-02-28T05:18:17Z http://psasir.upm.edu.my/id/eprint/50551/ Paddy grading using thermal imaging technology Bejo, Siti Khairunniza Azman, Norsolehah Jamil, Norazlida Rice production depends on good quality of paddy. In this research, the capability of thermal imaging to determine the quality of paddy based on the properties used in a Deduction Schedule namely moisture content, immature condition and foreign material is presented. First, the heating and cooling treatment was applied to the samples. FLIR E60 thermal camera was used to acquire images of the sample. Therefore, each samples were represented by a thermal index calculated based on the average value of pixels in the thermal image. Results of the experiment have shown that highly significant relationship were exist between thermal index and maturity stage and moisture content of paddy with r = -0.948 and 0.896, respectively. It also worked well in detecting foreign material (chaff) at 25s after cooling. The method gave accurate results with 92% for moisture content determination, 90% for maturity stage prediction and 100% for chaff detection. Faculty of Food Science and Technology, Universiti Putra Malaysia 2016 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/50551/1/%2835%29%20%20IFRJ-16427%20Bejo-Khairunniza.pdf Bejo, Siti Khairunniza and Azman, Norsolehah and Jamil, Norazlida (2016) Paddy grading using thermal imaging technology. International Food Research Journal, 23 (suppl.). S245-S248. ISSN 1985-4668; ESSN: 2231-7546 http://www.ifrj.upm.edu.my/23%20(06)%202016%20supplementary/(35)%20%20IFRJ-16427%20Bejo-Khairunniza.pdf
spellingShingle Bejo, Siti Khairunniza
Azman, Norsolehah
Jamil, Norazlida
Paddy grading using thermal imaging technology
title Paddy grading using thermal imaging technology
title_full Paddy grading using thermal imaging technology
title_fullStr Paddy grading using thermal imaging technology
title_full_unstemmed Paddy grading using thermal imaging technology
title_short Paddy grading using thermal imaging technology
title_sort paddy grading using thermal imaging technology
url http://psasir.upm.edu.my/id/eprint/50551/
http://psasir.upm.edu.my/id/eprint/50551/
http://psasir.upm.edu.my/id/eprint/50551/1/%2835%29%20%20IFRJ-16427%20Bejo-Khairunniza.pdf