Simultaneous sex and species classification of silkworm pupae by NIR spectroscopy combined with chemometric analysis
© 2020 Society of Chemical Industry..
BACKGROUND: Most studies only focus on the sex discrimination of silkworm pupae. However, species differentiation of silkworm pupae is also needed in sericulture. To classify the sex and species at the same time, the present study adopts near infrared (NIR) spectroscopy combined with multivariate analysis.
RESULTS: First, spectra samples were acquired using an NIR sensor, comprising female and male silkworm pupae from three species. Second, three different variables selection approaches were used, including a successive projections algorithm, competitive adaptive reweighted sampling (CARS) and interval partial least squares (iPLS). Third, identification models were built based on random forest and partial least squares discriminant analysis (PLSDA). The experimental results show that iPLS-PLSDA model (95.24%) gives a high performance when using the one of the three variable selection methods alone. To further increase the performance, the variable selection methods are optimized. The accuracy of the iPLS-CARS-PLSDA model is as high as 98.41%.
CONCLUSION: The present study demonstrates that the optimized variable selection method in combination with NIR spectroscopy represents a suitable strategy for sex and species identification of silkworm pupae. © 2020 Society of Chemical Industry.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:101 |
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| Enthalten in: |
Journal of the science of food and agriculture - 101(2021), 4 vom: 15. März, Seite 1323-1330 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Qiu, Guangying [VerfasserIn] |
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| Links: |
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| Themen: |
Evaluation Study |
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| Anmerkungen: |
Date Completed 06.04.2021 Date Revised 06.04.2021 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1002/jsfa.10740 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM314039457 |
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| 245 | 1 | 0 | |a Simultaneous sex and species classification of silkworm pupae by NIR spectroscopy combined with chemometric analysis |
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| 500 | |a Date Revised 06.04.2021 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2020 Society of Chemical Industry. | ||
| 520 | |a BACKGROUND: Most studies only focus on the sex discrimination of silkworm pupae. However, species differentiation of silkworm pupae is also needed in sericulture. To classify the sex and species at the same time, the present study adopts near infrared (NIR) spectroscopy combined with multivariate analysis | ||
| 520 | |a RESULTS: First, spectra samples were acquired using an NIR sensor, comprising female and male silkworm pupae from three species. Second, three different variables selection approaches were used, including a successive projections algorithm, competitive adaptive reweighted sampling (CARS) and interval partial least squares (iPLS). Third, identification models were built based on random forest and partial least squares discriminant analysis (PLSDA). The experimental results show that iPLS-PLSDA model (95.24%) gives a high performance when using the one of the three variable selection methods alone. To further increase the performance, the variable selection methods are optimized. The accuracy of the iPLS-CARS-PLSDA model is as high as 98.41% | ||
| 520 | |a CONCLUSION: The present study demonstrates that the optimized variable selection method in combination with NIR spectroscopy represents a suitable strategy for sex and species identification of silkworm pupae. © 2020 Society of Chemical Industry | ||
| 650 | 4 | |a Evaluation Study | |
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a feature selection | |
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| 650 | 4 | |a sex and species differentiation | |
| 650 | 4 | |a silkworm pupae | |
| 700 | 1 | |a Tao, Dan |e verfasserin |4 aut | |
| 700 | 1 | |a Xiao, Qian |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Guanglin |e verfasserin |4 aut | |
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