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Predictive performance of mobile vis-near infrared spectroscopy for key soil properties at different geographical scales by using spiking and data mining techniques

Said Nawar (UGent) and Abdul Mouazen (UGent)
(2017) CATENA. 151. p.118-129
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Diffuse reflectance spectroscopy, Spectral library, Soil properties, Data mining, Spiking, DIFFUSE-REFLECTANCE SPECTROSCOPY, PARTIAL LEAST-SQUARES, NIR SPECTROSCOPY, ORGANIC-MATTER, CLAY CONTENT, EUROPEAN FARMS, NEURAL-NETWORK, CARBON, SENSOR, CALIBRATION

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Chicago
Nawar, Said, and Abdul Mouazen. 2017. “Predictive Performance of Mobile Vis-near Infrared Spectroscopy for Key Soil Properties at Different Geographical Scales by Using Spiking and Data Mining Techniques.” Catena 151: 118–129.
APA
Nawar, S., & Mouazen, A. (2017). Predictive performance of mobile vis-near infrared spectroscopy for key soil properties at different geographical scales by using spiking and data mining techniques. CATENA, 151, 118–129.
Vancouver
1.
Nawar S, Mouazen A. Predictive performance of mobile vis-near infrared spectroscopy for key soil properties at different geographical scales by using spiking and data mining techniques. CATENA. 2017;151:118–29.
MLA
Nawar, Said, and Abdul Mouazen. “Predictive Performance of Mobile Vis-near Infrared Spectroscopy for Key Soil Properties at Different Geographical Scales by Using Spiking and Data Mining Techniques.” CATENA 151 (2017): 118–129. Print.
@article{8516081,
  author       = {Nawar, Said and Mouazen, Abdul},
  issn         = {0341-8162},
  journal      = {CATENA},
  language     = {eng},
  pages        = {118--129},
  title        = {Predictive performance of mobile vis-near infrared spectroscopy for key soil properties at different geographical scales by using spiking and data mining techniques},
  url          = {http://dx.doi.org/10.1016/j.catena.2016.12.014},
  volume       = {151},
  year         = {2017},
}

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