Comparison between Random Forests, Artificial Neural Networks and Gradient Boosted Machines Methods of On-Line Vis-NIR Spectroscopy Measurements of Soil Total Nitrogen and Total Carbon
出版年份 2017 全文链接
标题
Comparison between Random Forests, Artificial Neural Networks and Gradient Boosted Machines Methods of On-Line Vis-NIR Spectroscopy Measurements of Soil Total Nitrogen and Total Carbon
作者
关键词
-
出版物
SENSORS
Volume 17, Issue 10, Pages 2428
出版商
MDPI AG
发表日期
2017-10-24
DOI
10.3390/s17102428
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models
- (2017) Gerald Forkuor et al. PLoS One
- Machine learning based prediction of soil total nitrogen, organic carbon and moisture content by using VIS-NIR spectroscopy
- (2016) Antonios Morellos et al. BIOSYSTEMS ENGINEERING
- Estimating the soil clay content and organic matter by means of different calibration methods of vis-NIR diffuse reflectance spectroscopy
- (2016) Said Nawar et al. SOIL & TILLAGE RESEARCH
- Synthesized use of VisNIR DRS and PXRF for soil characterization: Total carbon and total nitrogen
- (2015) Dandan Wang et al. GEODERMA
- Comparison between artificial neural network and partial least squares for on-line visible and near infrared spectroscopy measurement of soil organic carbon, pH and clay content
- (2015) Boyan Kuang et al. SOIL & TILLAGE RESEARCH
- Targeted metabolomics in cultured cells and tissues by mass spectrometry: Method development and validation
- (2014) Anas M. Abdel Rahman et al. ANALYTICA CHIMICA ACTA
- Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale
- (2014) M.P. Martin et al. GEODERMA
- 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
- 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
- (2011) B. Kuang et al. EUROPEAN JOURNAL OF SOIL SCIENCE
- Soil carbon mapping using on-the-go near infrared spectroscopy, topography and aerial photographs
- (2011) Juan D. Muñoz et al. GEODERMA
- Multivariate random forests
- (2011) Mark Segal et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Near-infrared spectroscopy for within-field soil characterization: small local calibrations compared with national libraries spiked with local samples
- (2010) J. Wetterlind et al. EUROPEAN JOURNAL OF SOIL SCIENCE
- Spiking of NIR regional models using samples from target sites: Effect of model size on prediction accuracy
- (2010) César Guerrero et al. GEODERMA
- 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
- (2010) A.M. Mouazen et al. GEODERMA
- Using data mining to model and interpret soil diffuse reflectance spectra
- (2010) R.A. Viscarra Rossel et al. GEODERMA
- Comparing local vs. global visible and near-infrared (VisNIR) diffuse reflectance spectroscopy (DRS) calibrations for the prediction of soil clay, organic C and inorganic C
- (2008) Joel B. Sankey et al. GEODERMA
- A working guide to boosted regression trees
- (2008) J. Elith et al. JOURNAL OF ANIMAL ECOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More