Classification Method for Viability Screening of Naturally Aged Watermelon Seeds Using FT-NIR Spectroscopy
Viability analysis of stored seeds before sowing has a great importance as plant seeds lose their viability when they exposed to long term storage. In this study, the potential of Fourier transform near infrared spectroscopy (FT-NIR) was investigated to discriminate between viable and non-viable tri...
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doaj-bf76afe199ca45469056ed51813aae762020-11-25T03:21:46ZengMDPI AGSensors1424-82202019-03-01195119010.3390/s19051190s19051190Classification Method for Viability Screening of Naturally Aged Watermelon Seeds Using FT-NIR SpectroscopyJannat Yasmin0Mohammed Raju Ahmed1Santosh Lohumi2Collins Wakholi3Moon S. Kim4Byoung-Kwan Cho5Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, KoreaDepartment of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, KoreaDepartment of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, KoreaDepartment of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, KoreaEnvironmental Microbial and Food Safety Laboratory, Agricultural Research Service, U.S. Department of Agriculture, Powder Mill Rd. Bldg. 303, BARC-East, Beltsville, MD 20705, USADepartment of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, KoreaViability analysis of stored seeds before sowing has a great importance as plant seeds lose their viability when they exposed to long term storage. In this study, the potential of Fourier transform near infrared spectroscopy (FT-NIR) was investigated to discriminate between viable and non-viable triploid watermelon seeds of three different varieties stored for four years (natural aging) in controlled conditions. Because of the thick seed-coat of triploid watermelon seeds, penetration depth of FT-NIR light source was first confirmed to ensure seed embryo spectra can be collected effectively. The collected spectral data were divided into viable and nonviable groups after the viability being confirmed by conducting a standard germination test. The obtained results showed that the developed partial least discriminant analysis (PLS-DA) model had high classification accuracy where the dataset was made after mixing three different varieties of watermelon seeds. Finally, developed model was evaluated with an external data set (collected at different time) of hundred samples selected randomly from three varieties. The results yield a good classification accuracy for both viable (87.7%) and nonviable seeds (82%), thus the developed model can be considered as a “general model” since it can be applied to three different varieties of seeds and data collected at different time.http://www.mdpi.com/1424-8220/19/5/1190seed viabilitywatermelonspectroscopic analysisnear infrarednondestructive measurement |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jannat Yasmin Mohammed Raju Ahmed Santosh Lohumi Collins Wakholi Moon S. Kim Byoung-Kwan Cho |
spellingShingle |
Jannat Yasmin Mohammed Raju Ahmed Santosh Lohumi Collins Wakholi Moon S. Kim Byoung-Kwan Cho Classification Method for Viability Screening of Naturally Aged Watermelon Seeds Using FT-NIR Spectroscopy Sensors seed viability watermelon spectroscopic analysis near infrared nondestructive measurement |
author_facet |
Jannat Yasmin Mohammed Raju Ahmed Santosh Lohumi Collins Wakholi Moon S. Kim Byoung-Kwan Cho |
author_sort |
Jannat Yasmin |
title |
Classification Method for Viability Screening of Naturally Aged Watermelon Seeds Using FT-NIR Spectroscopy |
title_short |
Classification Method for Viability Screening of Naturally Aged Watermelon Seeds Using FT-NIR Spectroscopy |
title_full |
Classification Method for Viability Screening of Naturally Aged Watermelon Seeds Using FT-NIR Spectroscopy |
title_fullStr |
Classification Method for Viability Screening of Naturally Aged Watermelon Seeds Using FT-NIR Spectroscopy |
title_full_unstemmed |
Classification Method for Viability Screening of Naturally Aged Watermelon Seeds Using FT-NIR Spectroscopy |
title_sort |
classification method for viability screening of naturally aged watermelon seeds using ft-nir spectroscopy |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2019-03-01 |
description |
Viability analysis of stored seeds before sowing has a great importance as plant seeds lose their viability when they exposed to long term storage. In this study, the potential of Fourier transform near infrared spectroscopy (FT-NIR) was investigated to discriminate between viable and non-viable triploid watermelon seeds of three different varieties stored for four years (natural aging) in controlled conditions. Because of the thick seed-coat of triploid watermelon seeds, penetration depth of FT-NIR light source was first confirmed to ensure seed embryo spectra can be collected effectively. The collected spectral data were divided into viable and nonviable groups after the viability being confirmed by conducting a standard germination test. The obtained results showed that the developed partial least discriminant analysis (PLS-DA) model had high classification accuracy where the dataset was made after mixing three different varieties of watermelon seeds. Finally, developed model was evaluated with an external data set (collected at different time) of hundred samples selected randomly from three varieties. The results yield a good classification accuracy for both viable (87.7%) and nonviable seeds (82%), thus the developed model can be considered as a “general model” since it can be applied to three different varieties of seeds and data collected at different time. |
topic |
seed viability watermelon spectroscopic analysis near infrared nondestructive measurement |
url |
http://www.mdpi.com/1424-8220/19/5/1190 |
work_keys_str_mv |
AT jannatyasmin classificationmethodforviabilityscreeningofnaturallyagedwatermelonseedsusingftnirspectroscopy AT mohammedrajuahmed classificationmethodforviabilityscreeningofnaturallyagedwatermelonseedsusingftnirspectroscopy AT santoshlohumi classificationmethodforviabilityscreeningofnaturallyagedwatermelonseedsusingftnirspectroscopy AT collinswakholi classificationmethodforviabilityscreeningofnaturallyagedwatermelonseedsusingftnirspectroscopy AT moonskim classificationmethodforviabilityscreeningofnaturallyagedwatermelonseedsusingftnirspectroscopy AT byoungkwancho classificationmethodforviabilityscreeningofnaturallyagedwatermelonseedsusingftnirspectroscopy |
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1724612502150447104 |