Machine-learning-based quantitative estimation of soil organic carbon content by VIS/NIR spectroscopy

scientific article published on 17 October 2018

Machine-learning-based quantitative estimation of soil organic carbon content by VIS/NIR spectroscopy is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.7717/PEERJ.5714
P932PMC publication ID6195798
P698PubMed publication ID30357023

P50authorJingzhe WangQ59681880
P2093author name stringJianli Ding
Danlin Yu
Vasit Sagan
Aixia Yang
P2860cites workAn overview of statistical learning theory.Q50660273
Measurement of total anthocyanins content in flowering tea using near infrared spectroscopy combined with ant colony optimization models.Q51069936
[Comparative analysis of soil organic matter content based on different hyperspectral inversion models].Q51532787
Soil Cd, Cr, Cu, Ni, Pb and Zn sorption and retention models using SVM: Variable selection and competitive model.Q54168136
Quantitative estimation of soil salinity by means of different modeling methods and visible-near infrared (VIS-NIR) spectroscopy, Ebinur Lake Wetland, Northwest China.Q55317399
Visible-near infrared reflectance spectroscopy for rapid, nondestructive assessment of wetland soil qualityQ81926849
Spectroscopic models of soil organic carbon in Florida, USAQ84073780
Spectral Exploration of Calcium Accumulation in Organic Matter in Gray Desert Soil from Northwest ChinaQ28552273
Effects of Simulated Nitrogen Deposition on Soil Respiration in a Populus euphratica Community in the Ebinur Lake Area, a Desert Ecosystem of Northwestern ChinaQ28607484
Simulation of EO-1 Hyperion Data from ALI Multispectral Data Based on the Spectral Reconstruction ApproachQ28730058
Global consequences of land useQ29615541
Near infrared spectroscopy for determination of various physical, chemical and biochemical properties in Mediterranean soilsQ36453287
Global change pressures on soils from land use and managementQ38572437
Evaluation of the pollution and human health risks posed by heavy metals in the atmospheric dust in Ebinur Basin in Northwest ChinaQ38858800
Desert soil clay content estimation using reflectance spectroscopy preprocessed by fractional derivativeQ42362096
Novel hyperspectral reflectance models for estimating black-soil organic matter in Northeast ChinaQ46114411
Random forest: a classification and regression tool for compound classification and QSAR modelingQ47370701
Simultaneous measurement of contents of liquirtin and glycyrrhizic acid in liquorice based on near infrared spectroscopyQ49916273
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P407language of work or nameEnglishQ1860
P921main subjectmachine learningQ2539
soil organic carbonQ113009567
P304page(s)e5714
P577publication date2018-10-17
P1433published inPeerJQ2000010
P1476titleMachine-learning-based quantitative estimation of soil organic carbon content by VIS/NIR spectroscopy
P478volume6

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cites work (P2860)
Q64069016Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring
Q92028334Quantitative estimation of wastewater quality parameters by hyperspectral band screening using GC, VIP and SPA
Q61445522Quantitatively estimating main soil water-soluble salt ions content based on Visible-near infrared wavelength selected using GC, SR and VIP