199 related articles for article (PubMed ID: 36743568)
1. Non-destructive detection of kiwifruit soluble solid content based on hyperspectral and fluorescence spectral imaging.
Xu L; Chen Y; Wang X; Chen H; Tang Z; Shi X; Chen X; Wang Y; Kang Z; Zou Z; Huang P; He Y; Yang N; Zhao Y
Front Plant Sci; 2022; 13():1075929. PubMed ID: 36743568
[TBL] [Abstract][Full Text] [Related]
2. Hyperspectral imaging for predicting the allicin and soluble solid content of garlic with variable selection algorithms and chemometric models.
Rahman A; Faqeerzada MA; Cho BK
J Sci Food Agric; 2018 Sep; 98(12):4715-4725. PubMed ID: 29542139
[TBL] [Abstract][Full Text] [Related]
3. Non-destructive assessment of soluble solids content in kiwifruit using hyperspectral imaging coupled with feature engineering.
Xu W; Wei L; Cheng W; Yi X; Lin Y
Front Plant Sci; 2024; 15():1292365. PubMed ID: 38357269
[TBL] [Abstract][Full Text] [Related]
4. Non-destructive pre-symptomatic detection of gray mold infection in kiwifruit using hyperspectral data and chemometrics.
Haghbin N; Bakhshipour A; Zareiforoush H; Mousanejad S
Plant Methods; 2023 Jun; 19(1):53. PubMed ID: 37268945
[TBL] [Abstract][Full Text] [Related]
5. A data fusion approach for nondestructive tracking of the ripening process and quality attributes of green Hayward kiwifruit using artificial olfaction and proximal hyperspectral imaging techniques.
Bakhshipour A
Food Sci Nutr; 2023 Oct; 11(10):6116-6132. PubMed ID: 37823103
[TBL] [Abstract][Full Text] [Related]
6. Improving the prediction performance of soluble solids content (SSC) in kiwifruit by means of near-infrared spectroscopy using slope/bias correction and calibration updating.
Tian S; Liu W; Xu H
Food Res Int; 2023 Aug; 170():112988. PubMed ID: 37316062
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. [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]
9. [Study on the Rapid Evaluation of Total Volatile Basic Nitrogen (TVB-N) of Mutton by Hyperspectral Imaging Technique].
Zhu RG; Yao XD; Duan HW; Ma BX; Tang MX
Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Mar; 36(3):806-10. PubMed ID: 27400528
[TBL] [Abstract][Full Text] [Related]
10. Nondestructive detection of saponin content in Panax notoginseng powder based on hyperspectral imaging.
Sun J; Yao K; Cheng J; Xu M; Zhou X
J Pharm Biomed Anal; 2024 May; 242():116015. PubMed ID: 38364344
[TBL] [Abstract][Full Text] [Related]
11. Non-Destructive Detection of Strawberry Quality Using Multi-Features of Hyperspectral Imaging and Multivariate Methods.
Weng S; Yu S; Guo B; Tang P; Liang D
Sensors (Basel); 2020 May; 20(11):. PubMed ID: 32485900
[TBL] [Abstract][Full Text] [Related]
12. Development of Simplified Models for Non-Destructive Hyperspectral Imaging Monitoring of S-ovalbumin Content in Eggs during Storage.
Yao K; Sun J; Cheng J; Xu M; Chen C; Zhou X; Dai C
Foods; 2022 Jul; 11(14):. PubMed ID: 35885270
[TBL] [Abstract][Full Text] [Related]
13. Non-destructive detection of protein content in mulberry leaves by using hyperspectral imaging.
Li X; Peng F; Wei Z; Han G; Liu J
Front Plant Sci; 2023; 14():1275004. PubMed ID: 37900759
[TBL] [Abstract][Full Text] [Related]
14. Nondestructive quality assessment and maturity classification of loquats based on hyperspectral imaging.
Feng S; Shang J; Tan T; Wen Q; Meng Q
Sci Rep; 2023 Aug; 13(1):13189. PubMed ID: 37580378
[TBL] [Abstract][Full Text] [Related]
15. Non-Destructive Detection of Different Pesticide Residues on the Surface of Hami Melon Classification Based on tHBA-ELM Algorithm and SWIR Hyperspectral Imaging.
Hu Y; Ma B; Wang H; Li Y; Zhang Y; Yu G
Foods; 2023 Apr; 12(9):. PubMed ID: 37174311
[TBL] [Abstract][Full Text] [Related]
16. Hyperspectral Imaging for Predicting the Internal Quality of Kiwifruits Based on Variable Selection Algorithms and Chemometric Models.
Zhu H; Chu B; Fan Y; Tao X; Yin W; He Y
Sci Rep; 2017 Aug; 7(1):7845. PubMed ID: 28798306
[TBL] [Abstract][Full Text] [Related]
17. Using hyperspectral imaging technology for assessing internal quality parameters of persimmon fruits during the drying process.
Chen X; Jiao Y; Liu B; Chao W; Duan X; Yue T
Food Chem; 2022 Aug; 386():132774. PubMed ID: 35358859
[TBL] [Abstract][Full Text] [Related]
18. Potential of time series-hyperspectral imaging (TS-HSI) for non-invasive determination of microbial spoilage of salmon flesh.
Wu D; Sun DW
Talanta; 2013 Jul; 111():39-46. PubMed ID: 23622523
[TBL] [Abstract][Full Text] [Related]
19. Nondestructive detection of total soluble solids in grapes using VMD-RC and hyperspectral imaging.
Xu M; Sun J; Yao K; Wu X; Shen J; Cao Y; Zhou X
J Food Sci; 2022 Jan; 87(1):326-338. PubMed ID: 34940982
[TBL] [Abstract][Full Text] [Related]
20. [Simultaneous Detection of External and Internal Quality Parameters of Huping Jujube Fruits using Hyperspectral Imaging Technology].
Xue JX; Zhang SJ; Zhang JJ
Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Aug; 35(8):2297-302. PubMed ID: 26672312
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
