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238 related items for PubMed ID: 30157445
1. Research on moldy tea feature classification based on WKNN algorithm and NIR hyperspectral imaging. Xin Z, Jun S, Xiaohong W, Bing L, Ning Y, Chunxia D. Spectrochim Acta A Mol Biomol Spectrosc; 2019 Jan 05; 206():378-383. PubMed ID: 30157445 [Abstract] [Full Text] [Related]
6. Identification of moisture content in tobacco plant leaves using outlier sample eliminating algorithms and hyperspectral data. Sun J, Zhou X, Wu X, Zhang X, Li Q. Biochem Biophys Res Commun; 2016 Feb 26; 471(1):226-32. PubMed ID: 26809097 [Abstract] [Full Text] [Related]
7. Color measurement of tea leaves at different drying periods using hyperspectral imaging technique. Xie C, Li X, Shao Y, He Y. PLoS One; 2014 Feb 26; 9(12):e113422. PubMed ID: 25546335 [Abstract] [Full Text] [Related]
8. [Determination of Soluble Solid Content in Strawberry Using Hyperspectral Imaging Combined with Feature Extraction Methods]. Ding XB, Zhang C, Liu F, Song XL, Kong WW, He Y. Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Apr 26; 35(4):1020-4. PubMed ID: 26197594 [Abstract] [Full Text] [Related]
9. Classification of Aflatoxin B1 Concentration of Single Maize Kernel Based on Near-Infrared Hyperspectral Imaging and Feature Selection. Zhou Q, Huang W, Liang D, Tian X. Sensors (Basel); 2021 Jun 22; 21(13):. PubMed ID: 34206281 [Abstract] [Full Text] [Related]
11. [State Recognition of Solid Fermentation Process Based on Near Infrared Spectroscopy with Adaboost and Spectral Regression Discriminant Analysis]. Yu S, Liu GH, Xia RS, Jiang H. Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Jan 22; 36(1):51-4. PubMed ID: 27228739 [Abstract] [Full Text] [Related]
13. Nondestructive testing and visualization of compound heavy metals in lettuce leaves using fluorescence hyperspectral imaging. Zhou X, Zhao C, Sun J, Yao K, Xu M, Cheng J. Spectrochim Acta A Mol Biomol Spectrosc; 2023 Apr 15; 291():122337. PubMed ID: 36680832 [Abstract] [Full Text] [Related]
14. Cucumber powdery mildew detection method based on hyperspectra-terahertz. Zhang X, Wang P, Wang Y, Hu L, Luo X, Mao H, Shen B. Front Plant Sci; 2022 Apr 15; 13():1035731. PubMed ID: 36247642 [Abstract] [Full Text] [Related]
15. Variety Identification of Raisins Using Near-Infrared Hyperspectral Imaging. Feng L, Zhu S, Zhang C, Bao Y, Gao P, He Y. Molecules; 2018 Nov 08; 23(11):. PubMed ID: 30412997 [Abstract] [Full Text] [Related]
16. Detection of Oil Chestnuts Infected by Blue Mold Using Near-Infrared Hyperspectral Imaging Combined with Artificial Neural Networks. Feng L, Zhu S, Lin F, Su Z, Yuan K, Zhao Y, He Y, Zhang C. Sensors (Basel); 2018 Jun 15; 18(6):. PubMed ID: 29914074 [Abstract] [Full Text] [Related]
17. Near-infrared hyperspectral imaging in tandem with partial least squares regression and genetic algorithm for non-destructive determination and visualization of Pseudomonas loads in chicken fillets. Feng YZ, Sun DW. Talanta; 2013 May 15; 109():74-83. PubMed ID: 23618142 [Abstract] [Full Text] [Related]
18. Identification of coffee bean varieties using hyperspectral imaging: influence of preprocessing methods and pixel-wise spectra analysis. Zhang C, Liu F, He Y. Sci Rep; 2018 Feb 01; 8(1):2166. PubMed ID: 29391427 [Abstract] [Full Text] [Related]
19. Identification of different varieties of sesame oil using near-infrared hyperspectral imaging and chemometrics algorithms. Xie C, Wang Q, He Y. PLoS One; 2014 Feb 01; 9(5):e98522. PubMed ID: 24879306 [Abstract] [Full Text] [Related]
20. Multi-variable selection strategy based on near-infrared spectra for the rapid description of dianhong black tea quality. Ren G, Ning J, Zhang Z. Spectrochim Acta A Mol Biomol Spectrosc; 2021 Jan 15; 245():118918. PubMed ID: 32942112 [Abstract] [Full Text] [Related] Page: [Next] [New Search]