Husk detection using thermal imaging technology

Harvested paddy normally contains impurities including husk. This study focuses on the use of thermal imaging to detect husk. Heating and cooling treatment was applied to 20%, 40%, 60%, 100% husk and 100% seed to differentiate between husk and seeds due to heat transfer. From result, mean pixel of s...

Full description

Bibliographic Details
Main Authors: Jamil, Norazlida, Bejo, Siti Khairunniza
Format: Article
Language:English
Published: Elsevier 2014
Online Access:http://psasir.upm.edu.my/id/eprint/37898/
http://psasir.upm.edu.my/id/eprint/37898/1/37898.pdf
_version_ 1848848730565902336
author Jamil, Norazlida
Bejo, Siti Khairunniza
author_facet Jamil, Norazlida
Bejo, Siti Khairunniza
author_sort Jamil, Norazlida
building UPM Institutional Repository
collection Online Access
description Harvested paddy normally contains impurities including husk. This study focuses on the use of thermal imaging to detect husk. Heating and cooling treatment was applied to 20%, 40%, 60%, 100% husk and 100% seed to differentiate between husk and seeds due to heat transfer. From result, mean pixel of seed thermal image is higher compared to husks. It value at 25 s gave a suitable indicator to separate between seed and husk. The technique can be used to detect husk with 100% success rate for 20% and 40%, 98.33% for 60% and 97.67% for 100% husk, while 94.33% for 100% seeds.
first_indexed 2025-11-15T09:39:09Z
format Article
id upm-37898
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T09:39:09Z
publishDate 2014
publisher Elsevier
recordtype eprints
repository_type Digital Repository
spelling upm-378982016-02-01T00:02:49Z http://psasir.upm.edu.my/id/eprint/37898/ Husk detection using thermal imaging technology Jamil, Norazlida Bejo, Siti Khairunniza Harvested paddy normally contains impurities including husk. This study focuses on the use of thermal imaging to detect husk. Heating and cooling treatment was applied to 20%, 40%, 60%, 100% husk and 100% seed to differentiate between husk and seeds due to heat transfer. From result, mean pixel of seed thermal image is higher compared to husks. It value at 25 s gave a suitable indicator to separate between seed and husk. The technique can be used to detect husk with 100% success rate for 20% and 40%, 98.33% for 60% and 97.67% for 100% husk, while 94.33% for 100% seeds. Elsevier 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/37898/1/37898.pdf Jamil, Norazlida and Bejo, Siti Khairunniza (2014) Husk detection using thermal imaging technology. Agriculture and Agricultural Science Procedia, 2. pp. 128-135. ISSN 2210-7843 http://www.sciencedirect.com/science/article/pii/S2210784314000205 10.1016/j.aaspro.2014.11.019
spellingShingle Jamil, Norazlida
Bejo, Siti Khairunniza
Husk detection using thermal imaging technology
title Husk detection using thermal imaging technology
title_full Husk detection using thermal imaging technology
title_fullStr Husk detection using thermal imaging technology
title_full_unstemmed Husk detection using thermal imaging technology
title_short Husk detection using thermal imaging technology
title_sort husk detection using thermal imaging technology
url http://psasir.upm.edu.my/id/eprint/37898/
http://psasir.upm.edu.my/id/eprint/37898/
http://psasir.upm.edu.my/id/eprint/37898/
http://psasir.upm.edu.my/id/eprint/37898/1/37898.pdf