A combined data mining approach for on-line prediction of key soil quality indicators by Vis-NIR spectroscopy
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Title
A combined data mining approach for on-line prediction of key soil quality indicators by Vis-NIR spectroscopy
Authors
Keywords
On-line Vis-NIR spectroscopy, Partial least squares regression, Optimal sample selection, Principal component analysis, K-means, clustering, Extra-weighting
Journal
SOIL & TILLAGE RESEARCH
Volume 205, Issue -, Pages 104808
Publisher
Elsevier BV
Online
2020-09-24
DOI
10.1016/j.still.2020.104808
References
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- (2018) Said Nawar et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
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- (2014) Leonardo Ramirez-Lopez et al. GEODERMA
- Soil color analysis for statistically estimating total carbon, total nitrogen and active iron contents in Japanese agricultural soils
- (2014) Naoki Moritsuka et al. SOIL SCIENCE AND PLANT NUTRITION
- Effect of spiking strategy and ratio on calibration of on-line visible and near infrared soil sensor for measurement in European farms
- (2013) Boyan Kuang et al. SOIL & TILLAGE RESEARCH
- Prediction of soil organic carbon content by diffuse reflectance spectroscopy using a local partial least square regression approach
- (2013) Marco Nocita et al. SOIL BIOLOGY & BIOCHEMISTRY
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- (2012) B. Kuang et al. EUROPEAN JOURNAL OF SOIL SCIENCE
- Soil total carbon analysis in Hawaiian soils with visible, near-infrared and mid-infrared diffuse reflectance spectroscopy
- (2012) Meryl L. McDowell et al. GEODERMA
- Calibration of visible and near infrared spectroscopy for soil analysis at the field scale on three European farms
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- Effect of Moisture Content on Prediction of Organic Carbon and pH Using Visible and Near-Infrared Spectroscopy
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- Comparison among principal component, partial least squares and back propagation neural network analyses for accuracy of measurement of selected soil properties with visible and near infrared spectroscopy
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