181 related articles for article (PubMed ID: 30641361)
1. Research and analysis of cadmium residue in tomato leaves based on WT-LSSVR and Vis-NIR hyperspectral imaging.
Jun S; Xin Z; Xiaohong W; Bing L; Chunxia D; Jifeng S
Spectrochim Acta A Mol Biomol Spectrosc; 2019 Apr; 212():215-221. PubMed ID: 30641361
[TBL] [Abstract][Full Text] [Related]
2. Hyperspectral technique combined with deep learning algorithm for detection of compound heavy metals in lettuce.
Zhou X; Sun J; Tian Y; Lu B; Hang Y; Chen Q
Food Chem; 2020 Aug; 321():126503. PubMed ID: 32240914
[TBL] [Abstract][Full Text] [Related]
3. 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; 291():122337. PubMed ID: 36680832
[TBL] [Abstract][Full Text] [Related]
4. Discrimination of tomatoes bred by spaceflight mutagenesis using visible/near infrared spectroscopy and chemometrics.
Shao Y; Xie C; Jiang L; Shi J; Zhu J; He Y
Spectrochim Acta A Mol Biomol Spectrosc; 2015 Apr; 140():431-6. PubMed ID: 25637814
[TBL] [Abstract][Full Text] [Related]
5. Nondestructive nitrogen content estimation in tomato plant leaves by Vis-NIR hyperspectral imaging and regression data models.
Pourdarbani R; Sabzi S; Rohban MH; García-Mateos G; Arribas JI
Appl Opt; 2021 Oct; 60(30):9560-9569. PubMed ID: 34807100
[TBL] [Abstract][Full Text] [Related]
6. Detection of heavy metal lead in lettuce leaves based on fluorescence hyperspectral technology combined with deep learning algorithm.
Zhou X; Sun J; Tian Y; Yao K; Xu M
Spectrochim Acta A Mol Biomol Spectrosc; 2022 Feb; 266():120460. PubMed ID: 34637985
[TBL] [Abstract][Full Text] [Related]
7. Determination of metmyoglobin in cooked tan mutton using Vis/NIR hyperspectral imaging system.
Yuan R; Liu G; He J; Ma C; Cheng L; Fan N; Ban J; Li Y; Sun Y
J Food Sci; 2020 May; 85(5):1403-1410. PubMed ID: 32304238
[TBL] [Abstract][Full Text] [Related]
8. A deep learning method for predicting lead content in oilseed rape leaves using fluorescence hyperspectral imaging.
Zhou X; Zhao C; Sun J; Cao Y; Yao K; Xu M
Food Chem; 2023 May; 409():135251. PubMed ID: 36586261
[TBL] [Abstract][Full Text] [Related]
9. 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; 206():378-383. PubMed ID: 30157445
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. [Prediction of chlorophyll content of greenhouse tomato using wavelet transform combined with NIR spectra].
Ding YJ; Li MZ; Zheng LH; Zhao RJ; Li XH; An DK
Guang Pu Xue Yu Guang Pu Fen Xi; 2011 Nov; 31(11):2936-9. PubMed ID: 22242489
[TBL] [Abstract][Full Text] [Related]
12. [Study of detection of SPAD value in tomato leaves stressed by grey mold based on hyperspectral technique].
Xie CQ; He Y; Li XL; Liu F; Du PP; Feng L
Guang Pu Xue Yu Guang Pu Fen Xi; 2012 Dec; 32(12):3324-8. PubMed ID: 23427561
[TBL] [Abstract][Full Text] [Related]
13. Hyperspectral technique combined with stacking and blending ensemble learning method for detection of cadmium content in oilseed rape leaves.
Cheng J; Sun J; Yao K; Xu M; Wang S; Fu L
J Sci Food Agric; 2023 Mar; 103(5):2690-2699. PubMed ID: 36479694
[TBL] [Abstract][Full Text] [Related]
14. [Analysis and modeling of hyperspectral singularity in rice under Cd pollution].
Xiu LN; Liu XN; Liu ML
Guang Pu Xue Yu Guang Pu Fen Xi; 2011 Jan; 31(1):192-6. PubMed ID: 21428086
[TBL] [Abstract][Full Text] [Related]
15. [Rapid detection of nitrogen content and distribution in oilseed rape leaves based on hyperspectral imaging].
Zhang XL; Liu F; Nie PC; He Y; Bao YD
Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Sep; 34(9):2513-8. PubMed ID: 25532355
[TBL] [Abstract][Full Text] [Related]
16. Study on CAT activity of tomato leaf cells under salt stress based on microhyperspectral imaging and transfer learning algorithm.
Wu L; Zhang Y; Jiang Q; Zhang Y; Ma L; Ma S; Wang J; Ma Y; Du M; Li J; Gao Y
Spectrochim Acta A Mol Biomol Spectrosc; 2023 Dec; 302():123047. PubMed ID: 37392532
[TBL] [Abstract][Full Text] [Related]
17. Quantification of chlorophyll content and classification of nontransgenic and transgenic tomato leaves using visible/near-infrared diffuse reflectance spectroscopy.
Xie L; Ying Y; Ying T
J Agric Food Chem; 2007 Jun; 55(12):4645-50. PubMed ID: 17503831
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Development of multi-disturbance bagging Extreme Learning Machine method for cadmium content prediction of rape leaf using hyperspectral imaging technology.
Cheng J; Sun J; Yao K; Xu M; Wang S; Fu L
Spectrochim Acta A Mol Biomol Spectrosc; 2022 Oct; 279():121479. PubMed ID: 35696971
[TBL] [Abstract][Full Text] [Related]
20. [Application of Vis/NIR diffuse reflectance spectroscopy to the detection and identification of transgenic tomato leaf].
Xie LJ; Ying YB; Ying TJ; Tian HQ; Niu XY; Fu XP
Guang Pu Xue Yu Guang Pu Fen Xi; 2008 May; 28(5):1062-6. PubMed ID: 18720802
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
