156 related articles for article (PubMed ID: 34651617)
1. Chemometric strategies for near infrared hyperspectral imaging analysis: classification of cotton seed genotypes.
Rocha PD; Medeiros EP; Silva CS; da Silva Simões S
Anal Methods; 2021 Nov; 13(42):5065-5074. PubMed ID: 34651617
[TBL] [Abstract][Full Text] [Related]
2. Distinguishing cotton seed genotypes by means of vibrational spectroscopic methods (NIR and Raman) and chemometrics.
Mata MMD; Rocha PD; Farias IKT; Silva JLBD; Medeiros EP; Silva CS; Simões SDS
Spectrochim Acta A Mol Biomol Spectrosc; 2022 Feb; 266():120399. PubMed ID: 34597869
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. A chemometric approach to assess the oil composition and content of microwave-treated mustard (Brassica juncea) seeds using Vis-NIR-SWIR hyperspectral imaging.
Hamad R; Chakraborty SK
Sci Rep; 2024 Jul; 14(1):15643. PubMed ID: 38977722
[TBL] [Abstract][Full Text] [Related]
5. Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties.
Zhu S; Zhou L; Gao P; Bao Y; He Y; Feng L
Molecules; 2019 Sep; 24(18):. PubMed ID: 31500333
[TBL] [Abstract][Full Text] [Related]
6. Single Seed Near-Infrared Hyperspectral Imaging for Classification of Perennial Ryegrass Seed.
Reddy P; Panozzo J; Guthridge KM; Spangenberg GC; Rochfort SJ
Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850417
[TBL] [Abstract][Full Text] [Related]
7. Near-Infrared Hyperspectral Imaging Pipelines for Pasture Seed Quality Evaluation: An Overview.
Reddy P; Guthridge KM; Panozzo J; Ludlow EJ; Spangenberg GC; Rochfort SJ
Sensors (Basel); 2022 Mar; 22(5):. PubMed ID: 35271127
[TBL] [Abstract][Full Text] [Related]
8. Feasibility of identifying the authenticity of fresh and cooked mutton kebabs using visible and near-infrared hyperspectral imaging.
Jiang H; Yuan W; Ru Y; Chen Q; Wang J; Zhou H
Spectrochim Acta A Mol Biomol Spectrosc; 2022 Dec; 282():121689. PubMed ID: 35914356
[TBL] [Abstract][Full Text] [Related]
9. Prediction of Honeydew Contaminations on Cotton Samples by In-Line UV Hyperspectral Imaging.
Al Ktash M; Stefanakis M; Wackenhut F; Jehle V; Ostertag E; Rebner K; Brecht M
Sensors (Basel); 2022 Dec; 23(1):. PubMed ID: 36616917
[TBL] [Abstract][Full Text] [Related]
10. Rice seed cultivar identification using near-infrared hyperspectral imaging and multivariate data analysis.
Kong W; Zhang C; Liu F; Nie P; He Y
Sensors (Basel); 2013 Jul; 13(7):8916-27. PubMed ID: 23857260
[TBL] [Abstract][Full Text] [Related]
11. A Reliable Methodology for Determining Seed Viability by Using Hyperspectral Data from Two Sides of Wheat Seeds.
Zhang T; Wei W; Zhao B; Wang R; Li M; Yang L; Wang J; Sun Q
Sensors (Basel); 2018 Mar; 18(3):. PubMed ID: 29517991
[TBL] [Abstract][Full Text] [Related]
12. [Establishment and Application of Model for Determining Oil Content of Cottonseed Using Near Infrared Spectroscopy].
Shang LG; Li JH; Wang YM; Li YH; Wang D; Xiong M; Hua JP
Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Mar; 35(3):609-12. PubMed ID: 26117864
[TBL] [Abstract][Full Text] [Related]
13. Modelling and numerical methods for identifying low-level adulteration in ground beef using near-infrared hyperspectral imaging (NIR-HSI).
Jia W; Ferragina A; Hamill R; Koidis A
Talanta; 2024 Aug; 276():126199. PubMed ID: 38714010
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of Transmission Raman spectroscopy and NIR Hyperspectral Imaging for the assessment of content uniformity in solid oral dosage forms
Belay NF; Busche S; Manici V; Shaukat M; Arndt SO; Schmidt C
Eur J Pharm Sci; 2021 Nov; 166():105963. PubMed ID: 34352284
[TBL] [Abstract][Full Text] [Related]
15. Non-destructive analysis of germination percentage, germination energy and simple vigour index on wheat seeds during storage by Vis/NIR and SWIR hyperspectral imaging.
Zhang T; Fan S; Xiang Y; Zhang S; Wang J; Sun Q
Spectrochim Acta A Mol Biomol Spectrosc; 2020 Oct; 239():118488. PubMed ID: 32470809
[TBL] [Abstract][Full Text] [Related]
16. Rapid identification of the green tea geographical origin and processing month based on near-infrared hyperspectral imaging combined with chemometrics.
Liu Y; Huang J; Li M; Chen Y; Cui Q; Lu C; Wang Y; Li L; Xu Z; Zhong Y; Ning J
Spectrochim Acta A Mol Biomol Spectrosc; 2022 Feb; 267(Pt 1):120537. PubMed ID: 34740002
[TBL] [Abstract][Full Text] [Related]
17. Differentiation of Listeria monocytogenes serotypes using near infrared hyperspectral imaging.
Matenda RT; Rip D; Fernández Pierna JA; Baeten V; Williams PJ
Spectrochim Acta A Mol Biomol Spectrosc; 2024 Nov; 320():124579. PubMed ID: 38850824
[TBL] [Abstract][Full Text] [Related]
18. Classification of oat and groat kernels using NIR hyperspectral imaging.
Serranti S; Cesare D; Marini F; Bonifazi G
Talanta; 2013 Jan; 103():276-84. PubMed ID: 23200388
[TBL] [Abstract][Full Text] [Related]
19. A preliminary study of fingerprint aging using near infrared hyperspectral imaging (NIR-HSI).
Carneiro CR; Silva CS; Weber IT
Anal Methods; 2023 Nov; 15(46):6451-6459. PubMed ID: 37975279
[TBL] [Abstract][Full Text] [Related]
20. Near-infrared hyperspectral imaging for deoxynivalenol and ergosterol estimation in wheat samples.
Femenias A; Gatius F; Ramos AJ; Sanchis V; Marín S
Food Chem; 2021 Mar; 341(Pt 2):128206. PubMed ID: 33035826
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
