Non-Destructive Quality Evaluation of Pepper (Capsicum annuum L.) Seeds Using LED-Induced Hyperspectral Reflectance Imaging
In this study, we developed a viability evaluation method for pepper (Capsicum annuum L.) seeds based on hyperspectral reflectance imaging. The reflectance spectra of pepper seeds in the 400–700 nm range are collected from hyperspectral reflectance images obtained using blue, green, and red LED illu...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2014-04-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/14/4/7489 |
| _version_ | 1798005324087558144 |
|---|---|
| author | Changyeun Mo Giyoung Kim Kangjin Lee Moon S. Kim Byoung-Kwan Cho Jongguk Lim Sukwon Kang |
| author_facet | Changyeun Mo Giyoung Kim Kangjin Lee Moon S. Kim Byoung-Kwan Cho Jongguk Lim Sukwon Kang |
| author_sort | Changyeun Mo |
| collection | DOAJ |
| description | In this study, we developed a viability evaluation method for pepper (Capsicum annuum L.) seeds based on hyperspectral reflectance imaging. The reflectance spectra of pepper seeds in the 400–700 nm range are collected from hyperspectral reflectance images obtained using blue, green, and red LED illumination. A partial least squares–discriminant analysis (PLS-DA) model is developed to classify viable and non-viable seeds. Four spectral ranges generated with four types of LEDs (blue, green, red, and RGB), which were pretreated using various methods, are investigated to develop the classification models. The optimal PLS-DA model based on the standard normal variate for RGB LED illumination (400–700 nm) yields discrimination accuracies of 96.7% and 99.4% for viable seeds and nonviable seeds, respectively. The use of images based on the PLS-DA model with the first-order derivative of a 31.5-nm gap for red LED illumination (600–700 nm) yields 100% discrimination accuracy for both viable and nonviable seeds. The results indicate that a hyperspectral imaging technique based on LED light can be potentially applied to high-quality pepper seed sorting. |
| first_indexed | 2024-04-11T12:37:22Z |
| format | Article |
| id | doaj.art-10b64e232f3747beab527034f8ec27f9 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T12:37:22Z |
| publishDate | 2014-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-10b64e232f3747beab527034f8ec27f92022-12-22T04:23:35ZengMDPI AGSensors1424-82202014-04-011447489750410.3390/s140407489s140407489Non-Destructive Quality Evaluation of Pepper (Capsicum annuum L.) Seeds Using LED-Induced Hyperspectral Reflectance ImagingChangyeun Mo0Giyoung Kim1Kangjin Lee2Moon S. Kim3Byoung-Kwan Cho4Jongguk Lim5Sukwon Kang6National Academy of Agricultural Science, Rural Development Administration, 150 Suinro, Gwonseon-gu, Suwon, Gyeonggi-do 441-100, KoreaNational Academy of Agricultural Science, Rural Development Administration, 150 Suinro, Gwonseon-gu, Suwon, Gyeonggi-do 441-100, KoreaNational Academy of Agricultural Science, Rural Development Administration, 150 Suinro, Gwonseon-gu, Suwon, Gyeonggi-do 441-100, KoreaEnvironmental Microbiology and Food Safety Laboratory, BARC-East, Agricultural Research Service, US Department of Agriculture, 10300 Baltimore Avenue Beltsville, MD 20705, USADepartment of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 305-764, KoreaNational Academy of Agricultural Science, Rural Development Administration, 150 Suinro, Gwonseon-gu, Suwon, Gyeonggi-do 441-100, KoreaNational Academy of Agricultural Science, Rural Development Administration, 150 Suinro, Gwonseon-gu, Suwon, Gyeonggi-do 441-100, KoreaIn this study, we developed a viability evaluation method for pepper (Capsicum annuum L.) seeds based on hyperspectral reflectance imaging. The reflectance spectra of pepper seeds in the 400–700 nm range are collected from hyperspectral reflectance images obtained using blue, green, and red LED illumination. A partial least squares–discriminant analysis (PLS-DA) model is developed to classify viable and non-viable seeds. Four spectral ranges generated with four types of LEDs (blue, green, red, and RGB), which were pretreated using various methods, are investigated to develop the classification models. The optimal PLS-DA model based on the standard normal variate for RGB LED illumination (400–700 nm) yields discrimination accuracies of 96.7% and 99.4% for viable seeds and nonviable seeds, respectively. The use of images based on the PLS-DA model with the first-order derivative of a 31.5-nm gap for red LED illumination (600–700 nm) yields 100% discrimination accuracy for both viable and nonviable seeds. The results indicate that a hyperspectral imaging technique based on LED light can be potentially applied to high-quality pepper seed sorting.http://www.mdpi.com/1424-8220/14/4/7489hyperspectral imagingpepper seedqualityPLS-DALED |
| spellingShingle | Changyeun Mo Giyoung Kim Kangjin Lee Moon S. Kim Byoung-Kwan Cho Jongguk Lim Sukwon Kang Non-Destructive Quality Evaluation of Pepper (Capsicum annuum L.) Seeds Using LED-Induced Hyperspectral Reflectance Imaging Sensors hyperspectral imaging pepper seed quality PLS-DA LED |
| title | Non-Destructive Quality Evaluation of Pepper (Capsicum annuum L.) Seeds Using LED-Induced Hyperspectral Reflectance Imaging |
| title_full | Non-Destructive Quality Evaluation of Pepper (Capsicum annuum L.) Seeds Using LED-Induced Hyperspectral Reflectance Imaging |
| title_fullStr | Non-Destructive Quality Evaluation of Pepper (Capsicum annuum L.) Seeds Using LED-Induced Hyperspectral Reflectance Imaging |
| title_full_unstemmed | Non-Destructive Quality Evaluation of Pepper (Capsicum annuum L.) Seeds Using LED-Induced Hyperspectral Reflectance Imaging |
| title_short | Non-Destructive Quality Evaluation of Pepper (Capsicum annuum L.) Seeds Using LED-Induced Hyperspectral Reflectance Imaging |
| title_sort | non destructive quality evaluation of pepper capsicum annuum l seeds using led induced hyperspectral reflectance imaging |
| topic | hyperspectral imaging pepper seed quality PLS-DA LED |
| url | http://www.mdpi.com/1424-8220/14/4/7489 |
| work_keys_str_mv | AT changyeunmo nondestructivequalityevaluationofpeppercapsicumannuumlseedsusingledinducedhyperspectralreflectanceimaging AT giyoungkim nondestructivequalityevaluationofpeppercapsicumannuumlseedsusingledinducedhyperspectralreflectanceimaging AT kangjinlee nondestructivequalityevaluationofpeppercapsicumannuumlseedsusingledinducedhyperspectralreflectanceimaging AT moonskim nondestructivequalityevaluationofpeppercapsicumannuumlseedsusingledinducedhyperspectralreflectanceimaging AT byoungkwancho nondestructivequalityevaluationofpeppercapsicumannuumlseedsusingledinducedhyperspectralreflectanceimaging AT jongguklim nondestructivequalityevaluationofpeppercapsicumannuumlseedsusingledinducedhyperspectralreflectanceimaging AT sukwonkang nondestructivequalityevaluationofpeppercapsicumannuumlseedsusingledinducedhyperspectralreflectanceimaging |