Parameter optimization of rapeseed oil content model using a miniature near-infrared spectrometer

Modern Food Science and Technology

Volumn 31, Issue 8, 2015, Pages

  Chen, Bin ^a   Lu, Bing ^a   Lu, Dao Li ^a  

^a JIANGSU UNIVERSITY   (China)

Author keywords

Least squares support vector machine; Oil content; Rapeseed; Wavelength selection

Indexed keywords

FORECASTING; GENETIC ALGORITHMS; INFRARED SPECTROMETERS; MEAN SQUARE ERROR; OILSEEDS; REGRESSION ANALYSIS; SPECTROMETRY; SUPPORT VECTOR MACHINES; VEGETABLE OILS;

LEAST SQUARES SUPPORT VECTOR MACHINES; OIL CONTENTS; PARTIAL LEAST SQUARES REGRESSIONS (PLSR); RAPESEED; ROOT-MEAN-SQUARE ERROR OF PREDICTIONS; SUCCESSIVE PROJECTIONS ALGORITHMS (SPA); SYNERGY INTERVAL PARTIAL LEAST SQUARES; WAVELENGTH SELECTION;

LEAST SQUARES APPROXIMATIONS;

EID: 84942249642     PISSN: 16739078     EISSN: None     Source Type: Journal    
DOI: 10.13982/j.mfst.1673-9078.2015.8.045     Document Type: Article

References (14)

1. Daun J K, Clear K M, Williams P. Comparison of three whole seed near-infrared analyzers for measuring quality components of canola seed [J]. Journal of the American Oil Chemists' Society, 1994, 71(10): 1063-1068
2. Hom N H, Becker H C, Möllers C. Non-destructive analysis of rapeseed quality by NIRS of small seed samples and single seeds [J]. Euphytica, 2007, 153(1-2): 27-34
3. Petisco C, Garcia-Criado B, Vázquez-de-Aldana B R, et al. Measurement of quality parameters in intact seeds of Brassica species using visible and near-infrared spectroscopy [J]. Industrial Crops and Products, 2010, 32(2): 139-146
4. Sidhu H K, Haagenson D M, Rahman M, et al. Diode array near infrared spectrometer calibrations for composition analysis of single plant canola (brassica napus) seed. 2014, 30(1):69-76
5. GAO Jian-qin, ZHANG Jie-fu, PU Hui-ming, et al. Analysis of oil oleic and erucic acid contents in rapeseed by near infrared reflectance spectroscopy (NIRS) [J]. Jiangsu Journal of Agricultural Sciences, 2007, 23(3): 189-195
6. ZHI Wen-liang, XIN Xiao-yang, CUI Jian-min, et al. Determination of three major quality parameters of rapeseed with near infrared analyzer NYDL-3000 [J]. Chinese Journal of Oil Crop Sciences, 2012, 34(3): 305-310
7. KANG Yue-qiong, HAO Feng, CHAI Yong, et al. Study on construction of determination of rapeseed quality with near infrared spectroscopy [J]. Chinese Agricultural Science Bulletin, 2011, 27(5): 144-148
8. Lutz O, Bonn G K, Rode B M, et al. Reproducible quantification of ethanol in gasoline via a customized mobile near-infrared spectrometer [J]. Analytica Chimica Acta, 2014, 826: 61-68
9. NY/T 1285-2007, Determination of oil content in oilseeds by residue methods [S]
10. LU Wan-zhen, YUAN Hong-fu, CHU Xiao-li. Near Infrared Spectrometer Instrument [M]. Beijing: Chemical Industry Press, 2010
11. Chamkalani A, Zendehboudi S, Bahadori A, et al. Integration of LSSVM technique with PSO to determine asphaltene deposition [J]. Journal of Petroleum Science and Engineering, 2014, 124: 243-253
12. Bhandari A K, Soni V, Kumar A, et al. Cuckoo search algorithm based satellite image contrast and brightness enhancement using DWT-SVD [J]. ISA Transactions, 2014, 53(4): 1286-1296
13. Mahapatra S, Panda S, Swain S C. A hybrid firefly algorithm and pattern search technique for SSSC based power oscillation damping controller design [J]. Ain Shams Engineering Journal, 2014, 5(4): 1177-1188
14. Long B, Xian W, Li M, et al. Improved diagnostics for the incipient faults in analog circuits using LSSVM based on PSO algorithm with mahalanobis distance [J]. Neurocomputing, 2014, 133: 237-248