Detection of the Soluble Solid Contents from Fresh Jujubes during Different Maturation Periods Using NIR Hyperspectral Imaging and an Artificial Bee Colony
To perform accurate and synchronous detection of the soluble solid contents (SSC) in fresh jujubes at different stages of maturity, hyperspectral imaging was used to establish robust models. The combined data constituting four maturation stages were used to build the grid-search least squares suppor...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Journal of Analytical Methods in Chemistry |
| Online Access: | http://dx.doi.org/10.1155/2019/5032950 |
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| author | Haixia Sun Shujuan Zhang Caihong Chen Chengji Li Shuhai Xing Jianglong Liu Jianxin Xue |
| author_facet | Haixia Sun Shujuan Zhang Caihong Chen Chengji Li Shuhai Xing Jianglong Liu Jianxin Xue |
| author_sort | Haixia Sun |
| collection | DOAJ |
| description | To perform accurate and synchronous detection of the soluble solid contents (SSC) in fresh jujubes at different stages of maturity, hyperspectral imaging was used to establish robust models. The combined data constituting four maturation stages were used to build the grid-search least squares support vector machine (GS-LS-SVM) model. The determination coefficient (Rp2), the root-mean-square error (RMSEP), and the residual predictive deviation (RPD) of the prediction set for samples of the overall stages were 0.98, 1.10%, and 7.85, respectively. Furthermore, a successive projections algorithm (SPA) was used to extract the characteristic wavelengths of the combined data. An artificial bee colony (ABC) algorithm (for the prediction set, Rp2 = 0.98, RMSEP = 1.19%, RPD = 7.25) was used to improve the SPA-LS-SVM model, which was better than the SPA-GS-LS-SVM model (for the prediction set, Rp2 = 0.98, RMSEP = 1.24%, RPD = 6.96). Lastly, visualization of the SSC distribution map was performed based on the SPA-ABC-LS-SVM model, which clearly showed that the SSC gradually increased during maturation. The results indicated that it was realistic to construct a detection model of the multimaturity stage. This research also demonstrated that the combination of hyperspectral imaging and the ABC had good application values in the testing of agricultural products. |
| format | Article |
| id | doaj-art-2425710a8f21406e9e717572362df4bf |
| institution | Kabale University |
| issn | 2090-8865 2090-8873 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Analytical Methods in Chemistry |
| spelling | doaj-art-2425710a8f21406e9e717572362df4bf2025-02-03T05:46:52ZengWileyJournal of Analytical Methods in Chemistry2090-88652090-88732019-01-01201910.1155/2019/50329505032950Detection of the Soluble Solid Contents from Fresh Jujubes during Different Maturation Periods Using NIR Hyperspectral Imaging and an Artificial Bee ColonyHaixia Sun0Shujuan Zhang1Caihong Chen2Chengji Li3Shuhai Xing4Jianglong Liu5Jianxin Xue6College of Engineering, Shanxi Agricultural University, Taigu 030801, ChinaCollege of Engineering, Shanxi Agricultural University, Taigu 030801, ChinaCollege of Engineering, Shanxi Agricultural University, Taigu 030801, ChinaCollege of Engineering, Shanxi Agricultural University, Taigu 030801, ChinaCollege of Engineering, Shanxi Agricultural University, Taigu 030801, ChinaCollege of Engineering, Shanxi Agricultural University, Taigu 030801, ChinaCollege of Engineering, Shanxi Agricultural University, Taigu 030801, ChinaTo perform accurate and synchronous detection of the soluble solid contents (SSC) in fresh jujubes at different stages of maturity, hyperspectral imaging was used to establish robust models. The combined data constituting four maturation stages were used to build the grid-search least squares support vector machine (GS-LS-SVM) model. The determination coefficient (Rp2), the root-mean-square error (RMSEP), and the residual predictive deviation (RPD) of the prediction set for samples of the overall stages were 0.98, 1.10%, and 7.85, respectively. Furthermore, a successive projections algorithm (SPA) was used to extract the characteristic wavelengths of the combined data. An artificial bee colony (ABC) algorithm (for the prediction set, Rp2 = 0.98, RMSEP = 1.19%, RPD = 7.25) was used to improve the SPA-LS-SVM model, which was better than the SPA-GS-LS-SVM model (for the prediction set, Rp2 = 0.98, RMSEP = 1.24%, RPD = 6.96). Lastly, visualization of the SSC distribution map was performed based on the SPA-ABC-LS-SVM model, which clearly showed that the SSC gradually increased during maturation. The results indicated that it was realistic to construct a detection model of the multimaturity stage. This research also demonstrated that the combination of hyperspectral imaging and the ABC had good application values in the testing of agricultural products.http://dx.doi.org/10.1155/2019/5032950 |
| spellingShingle | Haixia Sun Shujuan Zhang Caihong Chen Chengji Li Shuhai Xing Jianglong Liu Jianxin Xue Detection of the Soluble Solid Contents from Fresh Jujubes during Different Maturation Periods Using NIR Hyperspectral Imaging and an Artificial Bee Colony Journal of Analytical Methods in Chemistry |
| title | Detection of the Soluble Solid Contents from Fresh Jujubes during Different Maturation Periods Using NIR Hyperspectral Imaging and an Artificial Bee Colony |
| title_full | Detection of the Soluble Solid Contents from Fresh Jujubes during Different Maturation Periods Using NIR Hyperspectral Imaging and an Artificial Bee Colony |
| title_fullStr | Detection of the Soluble Solid Contents from Fresh Jujubes during Different Maturation Periods Using NIR Hyperspectral Imaging and an Artificial Bee Colony |
| title_full_unstemmed | Detection of the Soluble Solid Contents from Fresh Jujubes during Different Maturation Periods Using NIR Hyperspectral Imaging and an Artificial Bee Colony |
| title_short | Detection of the Soluble Solid Contents from Fresh Jujubes during Different Maturation Periods Using NIR Hyperspectral Imaging and an Artificial Bee Colony |
| title_sort | detection of the soluble solid contents from fresh jujubes during different maturation periods using nir hyperspectral imaging and an artificial bee colony |
| url | http://dx.doi.org/10.1155/2019/5032950 |
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