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Non-Destructive Classification of Diversely Stained Capsicum annuum Seed Specimens of Different Cultivars Using Near-Infrared Imaging Based Optical Intensity Detection

The non-destructive classification of plant materials using optical inspection techniques has been gaining much recent attention in the field of agriculture research. Among them, a near-infrared (NIR) imaging method called optical coherence tomography (OCT) has become a well-known agricultural inspe...

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Autores principales: Manattayil, Jyothsna Konkada, Ravichandran, Naresh Kumar, Wijesinghe, Ruchire Eranga, Shirazi, Muhammad Faizan, Lee, Seung-Yeol, Kim, Pilun, Jung, Hee-Young, Jeon, Mansik, Kim, Jeehyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111981/
https://www.ncbi.nlm.nih.gov/pubmed/30071634
http://dx.doi.org/10.3390/s18082500
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author Manattayil, Jyothsna Konkada
Ravichandran, Naresh Kumar
Wijesinghe, Ruchire Eranga
Shirazi, Muhammad Faizan
Lee, Seung-Yeol
Kim, Pilun
Jung, Hee-Young
Jeon, Mansik
Kim, Jeehyun
author_facet Manattayil, Jyothsna Konkada
Ravichandran, Naresh Kumar
Wijesinghe, Ruchire Eranga
Shirazi, Muhammad Faizan
Lee, Seung-Yeol
Kim, Pilun
Jung, Hee-Young
Jeon, Mansik
Kim, Jeehyun
author_sort Manattayil, Jyothsna Konkada
collection PubMed
description The non-destructive classification of plant materials using optical inspection techniques has been gaining much recent attention in the field of agriculture research. Among them, a near-infrared (NIR) imaging method called optical coherence tomography (OCT) has become a well-known agricultural inspection tool since the last decade. Here we investigated the non-destructive identification capability of OCT to classify diversely stained (with various staining agents) Capsicum annuum seed specimens of different cultivars. A swept source (SS-OCT) system with a spectral band of 1310 nm was used to image unstained control C. annuum seeds along with diversely stained Capsicum seeds, belonging to different cultivar varieties, such as C. annuum cv. PR Ppareum, C. annuum cv. PR Yeol, and C. annuum cv. Asia Jeombo. The obtained cross-sectional images were further analyzed for the changes in the intensity of back-scattered light (resulting due to dye pigment material and internal morphological variations) using a depth scan profiling technique to identify the difference among each seed category. The graphically acquired depth scan profiling results revealed that the control specimens exhibit less back-scattered light intensity in depth scan profiles when compared to the stained seed specimens. Furthermore, a significant back-scattered light intensity difference among each different cultivar group can be identified as well. Thus, the potential capability of OCT based depth scan profiling technique for non-destructive classification of diversely stained C. annum seed specimens of different cultivars can be sufficiently confirmed through the proposed scheme. Hence, when compared to conventional seed sorting techniques, OCT can offer multipurpose advantages by performing sorting of seeds in respective to the dye staining and provides internal structural images non-destructively.
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spelling pubmed-61119812018-08-30 Non-Destructive Classification of Diversely Stained Capsicum annuum Seed Specimens of Different Cultivars Using Near-Infrared Imaging Based Optical Intensity Detection Manattayil, Jyothsna Konkada Ravichandran, Naresh Kumar Wijesinghe, Ruchire Eranga Shirazi, Muhammad Faizan Lee, Seung-Yeol Kim, Pilun Jung, Hee-Young Jeon, Mansik Kim, Jeehyun Sensors (Basel) Article The non-destructive classification of plant materials using optical inspection techniques has been gaining much recent attention in the field of agriculture research. Among them, a near-infrared (NIR) imaging method called optical coherence tomography (OCT) has become a well-known agricultural inspection tool since the last decade. Here we investigated the non-destructive identification capability of OCT to classify diversely stained (with various staining agents) Capsicum annuum seed specimens of different cultivars. A swept source (SS-OCT) system with a spectral band of 1310 nm was used to image unstained control C. annuum seeds along with diversely stained Capsicum seeds, belonging to different cultivar varieties, such as C. annuum cv. PR Ppareum, C. annuum cv. PR Yeol, and C. annuum cv. Asia Jeombo. The obtained cross-sectional images were further analyzed for the changes in the intensity of back-scattered light (resulting due to dye pigment material and internal morphological variations) using a depth scan profiling technique to identify the difference among each seed category. The graphically acquired depth scan profiling results revealed that the control specimens exhibit less back-scattered light intensity in depth scan profiles when compared to the stained seed specimens. Furthermore, a significant back-scattered light intensity difference among each different cultivar group can be identified as well. Thus, the potential capability of OCT based depth scan profiling technique for non-destructive classification of diversely stained C. annum seed specimens of different cultivars can be sufficiently confirmed through the proposed scheme. Hence, when compared to conventional seed sorting techniques, OCT can offer multipurpose advantages by performing sorting of seeds in respective to the dye staining and provides internal structural images non-destructively. MDPI 2018-08-01 /pmc/articles/PMC6111981/ /pubmed/30071634 http://dx.doi.org/10.3390/s18082500 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Manattayil, Jyothsna Konkada
Ravichandran, Naresh Kumar
Wijesinghe, Ruchire Eranga
Shirazi, Muhammad Faizan
Lee, Seung-Yeol
Kim, Pilun
Jung, Hee-Young
Jeon, Mansik
Kim, Jeehyun
Non-Destructive Classification of Diversely Stained Capsicum annuum Seed Specimens of Different Cultivars Using Near-Infrared Imaging Based Optical Intensity Detection
title Non-Destructive Classification of Diversely Stained Capsicum annuum Seed Specimens of Different Cultivars Using Near-Infrared Imaging Based Optical Intensity Detection
title_full Non-Destructive Classification of Diversely Stained Capsicum annuum Seed Specimens of Different Cultivars Using Near-Infrared Imaging Based Optical Intensity Detection
title_fullStr Non-Destructive Classification of Diversely Stained Capsicum annuum Seed Specimens of Different Cultivars Using Near-Infrared Imaging Based Optical Intensity Detection
title_full_unstemmed Non-Destructive Classification of Diversely Stained Capsicum annuum Seed Specimens of Different Cultivars Using Near-Infrared Imaging Based Optical Intensity Detection
title_short Non-Destructive Classification of Diversely Stained Capsicum annuum Seed Specimens of Different Cultivars Using Near-Infrared Imaging Based Optical Intensity Detection
title_sort non-destructive classification of diversely stained capsicum annuum seed specimens of different cultivars using near-infrared imaging based optical intensity detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111981/
https://www.ncbi.nlm.nih.gov/pubmed/30071634
http://dx.doi.org/10.3390/s18082500
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