201 related articles for article (PubMed ID: 28159242)
1. Comparison of different CCD detectors and chemometrics for predicting total anthocyanin content and antioxidant activity of mulberry fruit using visible and near infrared hyperspectral imaging technique.
Huang L; Zhou Y; Meng L; Wu D; He Y
Food Chem; 2017 Jun; 224():1-10. PubMed ID: 28159242
[TBL] [Abstract][Full Text] [Related]
2. Potential of Visible and Near-Infrared Hyperspectral Imaging for Detection of
Huang L; Yang L; Meng L; Wang J; Li S; Fu X; Du X; Wu D
Sensors (Basel); 2018 Jun; 18(7):. PubMed ID: 29958467
[TBL] [Abstract][Full Text] [Related]
3. Feasibility of Laser-Induced Breakdown Spectroscopy and Hyperspectral Imaging for Rapid Detection of Thiophanate-Methyl Residue on Mulberry Fruit.
Wu D; Meng L; Yang L; Wang J; Fu X; Du X; Li S; He Y; Huang L
Int J Mol Sci; 2019 Apr; 20(8):. PubMed ID: 31022906
[TBL] [Abstract][Full Text] [Related]
4. Nondestructive measurement of pectin polysaccharides using hyperspectral imaging in mulberry fruit.
Yang L; Gao H; Meng L; Fu X; Du X; Wu D; Huang L
Food Chem; 2021 Jan; 334():127614. PubMed ID: 32711282
[TBL] [Abstract][Full Text] [Related]
5. Predicting the anthocyanin content of wine grapes by NIR hyperspectral imaging.
Chen S; Zhang F; Ning J; Liu X; Zhang Z; Yang S
Food Chem; 2015 Apr; 172():788-93. PubMed ID: 25442621
[TBL] [Abstract][Full Text] [Related]
6. Non-destructive prediction and visualization of anthocyanin content in mulberry fruits using hyperspectral imaging.
Li X; Wei Z; Peng F; Liu J; Han G
Front Plant Sci; 2023; 14():1137198. PubMed ID: 37051079
[TBL] [Abstract][Full Text] [Related]
7. Application of invasive weed optimization and least square support vector machine for prediction of beef adulteration with spoiled beef based on visible near-infrared (Vis-NIR) hyperspectral imaging.
Zhao HT; Feng YZ; Chen W; Jia GF
Meat Sci; 2019 May; 151():75-81. PubMed ID: 30716565
[TBL] [Abstract][Full Text] [Related]
8. Total anthocyanin content determination in intact açaí (Euterpe oleracea Mart.) and palmitero-juçara (Euterpe edulis Mart.) fruit using near infrared spectroscopy (NIR) and multivariate calibration.
Inácio MR; de Lima KM; Lopes VG; Pessoa JD; de Almeida Teixeira GH
Food Chem; 2013 Feb; 136(3-4):1160-4. PubMed ID: 23194509
[TBL] [Abstract][Full Text] [Related]
9. NIRS and iSPA-PLS for predicting total anthocyanin content in jaboticaba fruit.
Mariani NC; de Almeida Teixeira GH; de Lima KM; Morgenstern TB; Nardini V; Cunha Júnior LC
Food Chem; 2015 May; 174():643-8. PubMed ID: 25529731
[TBL] [Abstract][Full Text] [Related]
10. Maturity Stage Discrimination of
Jiang H; Hu Y; Jiang X; Zhou H
Molecules; 2022 Sep; 27(19):. PubMed ID: 36234855
[TBL] [Abstract][Full Text] [Related]
11. Evaluation of chemical components and properties of the jujube fruit using near infrared spectroscopy and chemometrics.
Guo Y; Ni Y; Kokot S
Spectrochim Acta A Mol Biomol Spectrosc; 2016 Jan; 153():79-86. PubMed ID: 26296251
[TBL] [Abstract][Full Text] [Related]
12. Application of visible and near infrared hyperspectral imaging for non-invasively measuring distribution of water-holding capacity in salmon flesh.
Wu D; Sun DW
Talanta; 2013 Nov; 116():266-76. PubMed ID: 24148403
[TBL] [Abstract][Full Text] [Related]
13. [Effectively predicting soluble solids content in apple based on hyperspectral imaging].
Huang WQ; Li JB; Chen LP; Guo ZM
Guang Pu Xue Yu Guang Pu Fen Xi; 2013 Oct; 33(10):2843-6. PubMed ID: 24409747
[TBL] [Abstract][Full Text] [Related]
14. Prediction of Soluble-Solid Content in Citrus Fruit Using Visible-Near-Infrared Hyperspectral Imaging Based on Effective-Wavelength Selection Algorithm.
Kim MJ; Yu WH; Song DJ; Chun SW; Kim MS; Lee A; Kim G; Shin BS; Mo C
Sensors (Basel); 2024 Feb; 24(5):. PubMed ID: 38475048
[TBL] [Abstract][Full Text] [Related]
15. Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging.
Zhang C; Wu W; Zhou L; Cheng H; Ye X; He Y
Food Chem; 2020 Jul; 319():126536. PubMed ID: 32146292
[TBL] [Abstract][Full Text] [Related]
16. [Prediction the Soluble Solid Content in Sugarcanes by Using Near Infrared Hyperspectral Imaging System].
Gao JF; Zhang C; Xie CQ; Zhu FL; Guo ZH; He Y
Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Aug; 35(8):2154-8. PubMed ID: 26672284
[TBL] [Abstract][Full Text] [Related]
17. [Near-infrared hyperspectral imaging combined with CARS algorithm to quantitatively determine soluble solids content in "Ya" pear].
Li JB; Peng YK; Chen LP; Huang WQ
Guang Pu Xue Yu Guang Pu Fen Xi; 2014 May; 34(5):1264-9. PubMed ID: 25095419
[TBL] [Abstract][Full Text] [Related]
18. Predicting soluble solid content in intact jaboticaba [Myrciaria jaboticaba (Vell.) O. Berg] fruit using near-infrared spectroscopy and chemometrics.
Mariani NC; da Costa RC; de Lima KM; Nardini V; Cunha Júnior LC; Teixeira GH
Food Chem; 2014 Sep; 159():458-62. PubMed ID: 24767082
[TBL] [Abstract][Full Text] [Related]
19. Rapid detection of cadmium and its distribution in Miscanthus sacchariflorus based on visible and near-infrared hyperspectral imaging.
Feng X; Chen H; Chen Y; Zhang C; Liu X; Weng H; Xiao S; Nie P; He Y
Sci Total Environ; 2019 Apr; 659():1021-1031. PubMed ID: 31096318
[TBL] [Abstract][Full Text] [Related]
20. Use of Visible and Short-Wave Near-Infrared Hyperspectral Imaging To Fingerprint Anthocyanins in Intact Grape Berries.
Diago MP; Fernández-Novales J; Fernandes AM; Melo-Pinto P; Tardaguila J
J Agric Food Chem; 2016 Oct; 64(40):7658-7666. PubMed ID: 27653674
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
