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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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Keywords
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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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.
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.
Chicago author-date
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.
Chicago author-date (all authors)
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.
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.
IEEE
[1]
S. Nawar and A. 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, vol. 151, pp. 118–129, 2017.
@article{8516081,
  author       = {Nawar, Said and Mouazen, Abdul},
  issn         = {0341-8162},
  journal      = {CATENA},
  keywords     = {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},
  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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