Recent advances of optical imaging in the drying process of grains – a review

The ability to meet the demand for healthy dried grains by consumers is a great motivation for industrial grain processors to ensure grain quality retention during the drying process. The use of non-destructive, timely, accurate, reliable, economical, and environment-friendly techniques for grain qu...

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Main Authors: Jimoh, Kabiru Ayobami, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Jahari, Mahirah
Format: Article
Published: Elsevier 2023
Online Access:http://psasir.upm.edu.my/id/eprint/109449/
https://linkinghub.elsevier.com/retrieve/pii/S0022474X23000711
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spelling my.upm.eprints.1094492024-12-10T06:41:49Z http://psasir.upm.edu.my/id/eprint/109449/ Recent advances of optical imaging in the drying process of grains – a review Jimoh, Kabiru Ayobami Hashim, Norhashila Shamsudin, Rosnah Che Man, Hasfalina Jahari, Mahirah The ability to meet the demand for healthy dried grains by consumers is a great motivation for industrial grain processors to ensure grain quality retention during the drying process. The use of non-destructive, timely, accurate, reliable, economical, and environment-friendly techniques for grain quality detection remains in the top interest of researchers and agricultural industries in recent years. Physical and sensory inspection as well as physicochemical index analysis is part of the manual approaches for measuring grain quality. Due to sample integrity destruction and low efficiency, these procedures struggle to satisfy modern standards of their high susceptibility to human and analytical errors. The rapid advancement in measurement methods has led to the use of a variety of optical-based techniques for monitoring grain throughout the drying process since they are non-destructive and highly effective. The techniques such as RGB imaging, micro imaging, and thermal imaging have been extensively used to assess grain qualities which include grain size, shape, shrinkage, colour, temperature distribution, and microstructure. Meanwhile, the application of optical spectroscopy such as ultraviolet–visible (UV–Vis), near-infrared (NIR), and shortwave infrared (SWIR) spectral in grain drying were less evaluated in recent years. Therefore, it is crucial to understand the recent advances in the principle, procedure, and application of non-destructive optical imaging techniques for assessing grain qualities during the drying process. This requires attention for the development of improved monitoring and controlling system for the grain drying process, to ensure timely, healthy and high-quality dried grain production. Elsevier 2023-09 Article PeerReviewed Jimoh, Kabiru Ayobami and Hashim, Norhashila and Shamsudin, Rosnah and Che Man, Hasfalina and Jahari, Mahirah (2023) Recent advances of optical imaging in the drying process of grains – a review. Journal of Stored Products Research, 103 (1). pp. 1-12. ISSN 0022-474X; eISSN: 1879-1212 https://linkinghub.elsevier.com/retrieve/pii/S0022474X23000711 10.1016/j.jspr.2023.102145
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description The ability to meet the demand for healthy dried grains by consumers is a great motivation for industrial grain processors to ensure grain quality retention during the drying process. The use of non-destructive, timely, accurate, reliable, economical, and environment-friendly techniques for grain quality detection remains in the top interest of researchers and agricultural industries in recent years. Physical and sensory inspection as well as physicochemical index analysis is part of the manual approaches for measuring grain quality. Due to sample integrity destruction and low efficiency, these procedures struggle to satisfy modern standards of their high susceptibility to human and analytical errors. The rapid advancement in measurement methods has led to the use of a variety of optical-based techniques for monitoring grain throughout the drying process since they are non-destructive and highly effective. The techniques such as RGB imaging, micro imaging, and thermal imaging have been extensively used to assess grain qualities which include grain size, shape, shrinkage, colour, temperature distribution, and microstructure. Meanwhile, the application of optical spectroscopy such as ultraviolet–visible (UV–Vis), near-infrared (NIR), and shortwave infrared (SWIR) spectral in grain drying were less evaluated in recent years. Therefore, it is crucial to understand the recent advances in the principle, procedure, and application of non-destructive optical imaging techniques for assessing grain qualities during the drying process. This requires attention for the development of improved monitoring and controlling system for the grain drying process, to ensure timely, healthy and high-quality dried grain production.
format Article
author Jimoh, Kabiru Ayobami
Hashim, Norhashila
Shamsudin, Rosnah
Che Man, Hasfalina
Jahari, Mahirah
spellingShingle Jimoh, Kabiru Ayobami
Hashim, Norhashila
Shamsudin, Rosnah
Che Man, Hasfalina
Jahari, Mahirah
Recent advances of optical imaging in the drying process of grains – a review
author_facet Jimoh, Kabiru Ayobami
Hashim, Norhashila
Shamsudin, Rosnah
Che Man, Hasfalina
Jahari, Mahirah
author_sort Jimoh, Kabiru Ayobami
title Recent advances of optical imaging in the drying process of grains – a review
title_short Recent advances of optical imaging in the drying process of grains – a review
title_full Recent advances of optical imaging in the drying process of grains – a review
title_fullStr Recent advances of optical imaging in the drying process of grains – a review
title_full_unstemmed Recent advances of optical imaging in the drying process of grains – a review
title_sort recent advances of optical imaging in the drying process of grains – a review
publisher Elsevier
publishDate 2023
url http://psasir.upm.edu.my/id/eprint/109449/
https://linkinghub.elsevier.com/retrieve/pii/S0022474X23000711
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score 13.23648