Snapshot-Based Multispectral Imaging for Heat Stress Detection in Southern-Type Garlic
This study aims to develop a model for detecting heat stress in southern-type garlic using a multispectral snapshot camera. Raw snapshot images were obtained from garlic cloves during the garlic bulb enlargement period, capturing the visible (Vis) and near-infrared (NIR) regions. Image preprocessing...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/14/8133 |
| _version_ | 1797590470826655744 |
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| author | Jinhwan Ryu Seunghwan Wi Hoonsoo Lee |
| author_facet | Jinhwan Ryu Seunghwan Wi Hoonsoo Lee |
| author_sort | Jinhwan Ryu |
| collection | DOAJ |
| description | This study aims to develop a model for detecting heat stress in southern-type garlic using a multispectral snapshot camera. Raw snapshot images were obtained from garlic cloves during the garlic bulb enlargement period, capturing the visible (Vis) and near-infrared (NIR) regions. Image preprocessing was applied to obtain a 38-wavelength spectrum by combining a 16-wavelength image in the Vis region and a 22-wavelength image in the NIR region. These spectral data were then utilized to develop models, including PLS-DA, LS-SVM, DNN, and recurrence plots-based CNN (RP-CNN). On average, the LS-SVM model demonstrated the best performance in detecting heat stress during the garlic bulb enlargement period. This is attributed to the nonlinear nature of the spectral differences between groups caused by abiotic stress in garlic. The LS-SVM model is particularly effective at capturing such nonlinear relationships. Among the model images, LS-SVM yielded the best performance, followed by RP-CNN, DNN, and PLS-DA. Therefore, this study confirms the potential of snapshot-based multispectral imaging for measuring changes in garlic crops induced by high-temperature stress. |
| first_indexed | 2024-03-11T01:20:57Z |
| format | Article |
| id | doaj.art-bd557bc128624a058e77ec0f8fa93142 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T01:20:57Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-bd557bc128624a058e77ec0f8fa931422023-11-18T18:08:43ZengMDPI AGApplied Sciences2076-34172023-07-011314813310.3390/app13148133Snapshot-Based Multispectral Imaging for Heat Stress Detection in Southern-Type GarlicJinhwan Ryu0Seunghwan Wi1Hoonsoo Lee2Department of Biosystems Engineering, College of Agriculture, Life & Environment Science, Chungbuk National University, 1 Chungdae-ro, Seowon-gu, Cheongju-si 28644, Republic of KoreaVegetable Research Division, National Institute of Horticultural & Herbal Science, Wanju 55365, Republic of KoreaDepartment of Biosystems Engineering, College of Agriculture, Life & Environment Science, Chungbuk National University, 1 Chungdae-ro, Seowon-gu, Cheongju-si 28644, Republic of KoreaThis study aims to develop a model for detecting heat stress in southern-type garlic using a multispectral snapshot camera. Raw snapshot images were obtained from garlic cloves during the garlic bulb enlargement period, capturing the visible (Vis) and near-infrared (NIR) regions. Image preprocessing was applied to obtain a 38-wavelength spectrum by combining a 16-wavelength image in the Vis region and a 22-wavelength image in the NIR region. These spectral data were then utilized to develop models, including PLS-DA, LS-SVM, DNN, and recurrence plots-based CNN (RP-CNN). On average, the LS-SVM model demonstrated the best performance in detecting heat stress during the garlic bulb enlargement period. This is attributed to the nonlinear nature of the spectral differences between groups caused by abiotic stress in garlic. The LS-SVM model is particularly effective at capturing such nonlinear relationships. Among the model images, LS-SVM yielded the best performance, followed by RP-CNN, DNN, and PLS-DA. Therefore, this study confirms the potential of snapshot-based multispectral imaging for measuring changes in garlic crops induced by high-temperature stress.https://www.mdpi.com/2076-3417/13/14/8133nondestructive evaluationgarlicsnapshot multispectral imagingheat stresspartial least squarepartial least-squares discriminant analysis (PLS-DA) |
| spellingShingle | Jinhwan Ryu Seunghwan Wi Hoonsoo Lee Snapshot-Based Multispectral Imaging for Heat Stress Detection in Southern-Type Garlic Applied Sciences nondestructive evaluation garlic snapshot multispectral imaging heat stress partial least square partial least-squares discriminant analysis (PLS-DA) |
| title | Snapshot-Based Multispectral Imaging for Heat Stress Detection in Southern-Type Garlic |
| title_full | Snapshot-Based Multispectral Imaging for Heat Stress Detection in Southern-Type Garlic |
| title_fullStr | Snapshot-Based Multispectral Imaging for Heat Stress Detection in Southern-Type Garlic |
| title_full_unstemmed | Snapshot-Based Multispectral Imaging for Heat Stress Detection in Southern-Type Garlic |
| title_short | Snapshot-Based Multispectral Imaging for Heat Stress Detection in Southern-Type Garlic |
| title_sort | snapshot based multispectral imaging for heat stress detection in southern type garlic |
| topic | nondestructive evaluation garlic snapshot multispectral imaging heat stress partial least square partial least-squares discriminant analysis (PLS-DA) |
| url | https://www.mdpi.com/2076-3417/13/14/8133 |
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