171 related articles for article (PubMed ID: 35358780)
21. Soluble solid content and firmness index assessment and maturity discrimination of Malus micromalus Makino based on near-infrared hyperspectral imaging.
Gao Q; Wang P; Niu T; He D; Wang M; Yang H; Zhao X
Food Chem; 2022 Feb; 370():131013. PubMed ID: 34509150
[TBL] [Abstract][Full Text] [Related]
22. Non-Destructive and Rapid Variety Discrimination and Visualization of Single Grape Seed Using Near-Infrared Hyperspectral Imaging Technique and Multivariate Analysis.
Zhao Y; Zhang C; Zhu S; Gao P; Feng L; He Y
Molecules; 2018 Jun; 23(6):. PubMed ID: 29867071
[TBL] [Abstract][Full Text] [Related]
23. Sex determination of silkworm pupae using VIS-NIR hyperspectral imaging combined with chemometrics.
Tao D; Wang Z; Li G; Xie L
Spectrochim Acta A Mol Biomol Spectrosc; 2019 Feb; 208():7-12. PubMed ID: 30290293
[TBL] [Abstract][Full Text] [Related]
24. Rapid and nondestructive detection of marine fishmeal adulteration by hyperspectral imaging and machine learning.
Kong D; Sun D; Qiu R; Zhang W; Liu Y; He Y
Spectrochim Acta A Mol Biomol Spectrosc; 2022 May; 273():120990. PubMed ID: 35183858
[TBL] [Abstract][Full Text] [Related]
25. [Discrimination of Varieties of Cabbage with Near Infrared Spectra Based on Principal Component Analysis and Successive Projections Algorithm].
Luo W; Du YZ; Zhang HL
Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Nov; 36(11):3536-41. PubMed ID: 30198665
[TBL] [Abstract][Full Text] [Related]
26. Hyperspectral discrimination of ginseng variety and age from Changbai Mountain area.
Cheng R; Bai X; Guo J; Huang L; Zhao D; Liu Z; Zhang W
Spectrochim Acta A Mol Biomol Spectrosc; 2024 Feb; 307():123613. PubMed ID: 37976570
[TBL] [Abstract][Full Text] [Related]
27. Study on detection method of microplastics in farmland soil based on hyperspectral imaging technology.
Xu L; Chen Y; Feng A; Shi X; Feng Y; Yang Y; Wang Y; Wu Z; Zou Z; Ma W; He Y; Yang N; Feng J; Zhao Y
Environ Res; 2023 Sep; 232():116389. PubMed ID: 37302742
[TBL] [Abstract][Full Text] [Related]
28. Non-Destructive Hyperspectral Imaging for Rapid Determination of Catalase Activity and Ageing Visualization of Wheat Stored for Different Durations.
Zhang Y; Lu G; Zhou X; Cheng JH
Molecules; 2022 Dec; 27(24):. PubMed ID: 36557781
[TBL] [Abstract][Full Text] [Related]
29. The New Hyperspectral Analysis Method for Distinguishing the Types of Heavy Metal Copper and Lead Pollution Elements.
Zhang J; Wang M; Yang K; Li Y; Li Y; Wu B; Han Q
Int J Environ Res Public Health; 2022 Jun; 19(13):. PubMed ID: 35805414
[TBL] [Abstract][Full Text] [Related]
30. 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; 8(1):2166. PubMed ID: 29391427
[TBL] [Abstract][Full Text] [Related]
31. [Variety recognition of Chinese cabbage seeds by hyperspectral imaging combined with machine learning].
Cheng SX; Kong WW; Zhang C; Liu F; He Y
Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Sep; 34(9):2519-22. PubMed ID: 25532356
[TBL] [Abstract][Full Text] [Related]
32. [Identification of varieties of black bean using ground based hyperspectral imaging].
Zhang C; Liu F; Zhang HL; Kong WW; He Y
Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Mar; 34(3):746-50. PubMed ID: 25208405
[TBL] [Abstract][Full Text] [Related]
33. Non-Destructive Trace Detection of Explosives Using Pushbroom Scanning Hyperspectral Imaging System.
Chaudhary S; Ninsawat S; Nakamura T
Sensors (Basel); 2018 Dec; 19(1):. PubMed ID: 30597901
[TBL] [Abstract][Full Text] [Related]
34. Rapid and Nondestructive Measurement of Rice Seed Vitality of Different Years Using Near-Infrared Hyperspectral Imaging.
He X; Feng X; Sun D; Liu F; Bao Y; He Y
Molecules; 2019 Jun; 24(12):. PubMed ID: 31207950
[TBL] [Abstract][Full Text] [Related]
35. Adoption of Machine Learning in Intelligent Terrain Classification of Hyperspectral Remote Sensing Images.
Li Y; Wang J; Gao T; Sun Q; Zhang L; Tang M
Comput Intell Neurosci; 2020; 2020():8886932. PubMed ID: 32952545
[TBL] [Abstract][Full Text] [Related]
36. Development of Noninvasive Classification Methods for Different Roasting Degrees of Coffee Beans Using Hyperspectral Imaging.
Chu B; Yu K; Zhao Y; He Y
Sensors (Basel); 2018 Apr; 18(4):. PubMed ID: 29671781
[TBL] [Abstract][Full Text] [Related]
37. NIR Hyperspectral Imaging Technology Combined with Multivariate Methods to Study the Residues of Different Concentrations of Omethoate on Wheat Grain Surface.
Zhang L; Rao Z; Ji H
Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31319577
[TBL] [Abstract][Full Text] [Related]
38. Variety identification of oat seeds using hyperspectral imaging: investigating the representation ability of deep convolutional neural network.
Wu N; Zhang Y; Na R; Mi C; Zhu S; He Y; Zhang C
RSC Adv; 2019 Apr; 9(22):12635-12644. PubMed ID: 35515879
[TBL] [Abstract][Full Text] [Related]
39. Identification of Maize Kernel Vigor under Different Accelerated Aging Times Using Hyperspectral Imaging.
Feng L; Zhu S; Zhang C; Bao Y; Feng X; He Y
Molecules; 2018 Nov; 23(12):. PubMed ID: 30477266
[TBL] [Abstract][Full Text] [Related]
40. Rapid nondestructive detection of peanut varieties and peanut mildew based on hyperspectral imaging and stacked machine learning models.
Wu Q; Xu L; Zou Z; Wang J; Zeng Q; Wang Q; Zhen J; Wang Y; Zhao Y; Zhou M
Front Plant Sci; 2022; 13():1047479. PubMed ID: 36438117
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
