BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

165 related articles for article (PubMed ID: 23840459)

  • 1. Prediction of Soil Organic Carbon at the European Scale by Visible and Near InfraRed Reflectance Spectroscopy.
    Stevens A; Nocita M; Tóth G; Montanarella L; van Wesemael B
    PLoS One; 2013; 8(6):e66409. PubMed ID: 23840459
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Effects of Subsetting by Parent Materials on Prediction of Soil Organic Matter Content in a Hilly Area Using Vis-NIR Spectroscopy.
    Xu S; Shi X; Wang M; Zhao Y
    PLoS One; 2016; 11(3):e0151536. PubMed ID: 26974821
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Evaluation of Two Portable Hyperspectral-Sensor-Based Instruments to Predict Key Soil Properties in Canadian Soils.
    Dhawale NM; Adamchuk VI; Prasher SO; Rossel RAV; Ismail AA
    Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408171
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of soil organic carbon in a coal mining area by Vis-NIR spectroscopy.
    Sun W; Li X; Niu B
    PLoS One; 2018; 13(4):e0196198. PubMed ID: 29677214
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Assessment of humic and fulvic acids in black soils using near-infrared reflectance spectroscopy].
    Fan RQ; Shen Y; Yang XM; Zhang XP; Liang AZ; Jia SX; Chen XW; Wei SC
    Guang Pu Xue Yu Guang Pu Fen Xi; 2012 Oct; 32(10):2674-9. PubMed ID: 23285863
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Analysis of visible and near infrared spectral reflectance for assessing metals in soil.
    Rathod PH; Müller I; Van der Meer FD; de Smeth B
    Environ Monit Assess; 2015 Oct; 188(10):558. PubMed ID: 27614958
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Use of soil spectral reflectance to estimate texture and fertility affected by land management practices in Ethiopian tropical highland.
    Tiruneh GA; Meshesha DT; Adgo E; Tsunekawa A; Haregeweyn N; Fenta AA; Belay AW; Tadesse N; Fekadu G; Reichert JM
    PLoS One; 2022; 17(7):e0270629. PubMed ID: 35862343
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Soil organic carbon content estimation with laboratory-based visible-near-infrared reflectance spectroscopy: feature selection.
    Shi T; Chen Y; Liu H; Wang J; Wu G
    Appl Spectrosc; 2014; 68(8):831-7. PubMed ID: 25061784
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Near infrared spectroscopy in determining organic carbon and total nitrogen in black soil of Northeast China].
    Shen Y; Zhang XP; Liang AZ; Shi XH; Fan RQ; Yang XM
    Ying Yong Sheng Tai Xue Bao; 2010 Jan; 21(1):109-14. PubMed ID: 20387431
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [A near-infrared spectral index for estimating soil organic matter content].
    Zhang JJ; Tian YC; Zhu Y; Yao X; Cao WX
    Ying Yong Sheng Tai Xue Bao; 2009 Aug; 20(8):1896-904. PubMed ID: 19947209
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Modeling Soil Organic Carbon at Regional Scale by Combining Multi-Spectral Images with Laboratory Spectra.
    Peng Y; Xiong X; Adhikari K; Knadel M; Grunwald S; Greve MH
    PLoS One; 2015; 10(11):e0142295. PubMed ID: 26555071
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Estimating soil heavy metals concentration at large scale using visible and near-infrared reflectance spectroscopy.
    Yousefi G; Homaee M; Norouzi AA
    Environ Monit Assess; 2018 Aug; 190(9):513. PubMed ID: 30105407
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Visible and near-infrared spectroscopy analysis of a polycyclic aromatic hydrocarbon in soils.
    Okparanma RN; Mouazen AM
    ScientificWorldJournal; 2013; 2013():160360. PubMed ID: 24453798
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Prediction of soil organic carbon in different soil fractions of black soils in Northeast China using near-infrared reflectance spectroscopy].
    Fan RQ; Yang XM; Zhang XP; Shen Y; Liang AZ; Shi XH; Wei SC; Chen XW
    Guang Pu Xue Yu Guang Pu Fen Xi; 2012 Feb; 32(2):349-53. PubMed ID: 22512166
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Visible-near infrared reflectance spectroscopy for rapid, nondestructive assessment of wetland soil quality.
    Cohen MJ; Prenger JP; DeBusk WF
    J Environ Qual; 2005; 34(4):1422-34. PubMed ID: 15998865
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predictions of soil organic carbon using laboratory-based hyperspectral data in the northern Tianshan mountains, China.
    Yang H; Li J
    Environ Monit Assess; 2013 May; 185(5):3897-908. PubMed ID: 22941186
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Spectroscopic models of soil organic carbon in Florida, USA.
    Vasques GM; Grunwald S; Harris WG
    J Environ Qual; 2010; 39(3):923-34. PubMed ID: 20400588
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting field capacity, wilting point, and the other physical properties of soils using hyperspectral reflectance spectroscopy: two different statistical approaches.
    Arslan H; Tasan M; Yildirim D; Koksal ES; Cemek B
    Environ Monit Assess; 2014 Aug; 186(8):5077-88. PubMed ID: 24715616
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Accuracy and Reproducibility of Laboratory Diffuse Reflectance Measurements with Portable VNIR and MIR Spectrometers for Predictive Soil Organic Carbon Modeling.
    Semella S; Hutengs C; Seidel M; Ulrich M; Schneider B; Ortner M; Thiele-Bruhn S; Ludwig B; Vohland M
    Sensors (Basel); 2022 Apr; 22(7):. PubMed ID: 35408363
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Soil analysis using visible and near infrared spectroscopy.
    Wetterlind J; Stenberg B; Rossel RA
    Methods Mol Biol; 2013; 953():95-107. PubMed ID: 23073878
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.