Evaluation of Machine Learning Approaches to Predict Soil Organic Matter and pH Using vis-NIR Spectra
出版年份 2019 全文链接
标题
Evaluation of Machine Learning Approaches to Predict Soil Organic Matter and pH Using vis-NIR Spectra
作者
关键词
-
出版物
SENSORS
Volume 19, Issue 2, Pages 263
出版商
MDPI AG
发表日期
2019-01-11
DOI
10.3390/s19020263
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。- Comparison of multivariate methods for estimating selected soil properties from intact soil cores of paddy fields by Vis–NIR spectroscopy
- (2018) Shengxiang Xu et al. GEODERMA
- Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition
- (2018) Ramendra Prasad et al. GEODERMA
- Multi-sensor fusion for the determination of several soil properties in the Yangtze River Delta, China
- (2018) D. Xu et al. EUROPEAN JOURNAL OF SOIL SCIENCE
- Application of portable XRF and VNIR sensors for rapid assessment of soil heavy metal pollution
- (2017) Bifeng Hu 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
- In Situ Measurements of Organic Carbon in Soil Profiles Using vis-NIR Spectroscopy on the Qinghai–Tibet Plateau
- (2015) Shuo Li et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Prediction of soil organic matter using a spatially constrained local partial least squares regression and the Chinese vis-NIR spectral library
- (2015) Z. Shi et al. EUROPEAN JOURNAL OF SOIL SCIENCE
- Trends in extreme learning machines: A review
- (2015) Gao Huang et al. NEURAL NETWORKS
- What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt’s Dream and John von Neumann’s Puzzle
- (2015) Guang-Bin Huang Cognitive Computation
- Potential of VIS-NIR-SWIR Spectroscopy from the Chinese Soil Spectral Library for Assessment of Nitrogen Fertilization Rates in the Paddy-Rice Region, China
- (2015) Shuo Li et al. Remote Sensing
- Remote Sensing Based Simple Models of GPP in Both Disturbed and Undisturbed Piñon-Juniper Woodlands in the Southwestern U.S.
- (2015) Dan Krofcheck et al. Remote Sensing
- Soil Organic Carbon Content Estimation with Laboratory-Based Visible–Near-Infrared Reflectance Spectroscopy: Feature Selection
- (2014) Tiezhu Shi et al. APPLIED SPECTROSCOPY
- Improving the prediction performance of a large tropical vis-NIR spectroscopic soil library from Brazil by clustering into smaller subsets or use of data mining calibration techniques
- (2014) S. R. Araújo et al. EUROPEAN JOURNAL OF SOIL SCIENCE
- Predicting soil properties from the Australian soil visible-near infrared spectroscopic database
- (2012) R. A. Viscarra Rossel et al. EUROPEAN JOURNAL OF SOIL SCIENCE
- Predicting Soil Phosphorus-Related Properties Using Near-Infrared Reflectance Spectroscopy
- (2012) Dalel Abdi et al. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
- Comparing different multivariate calibration methods for the determination of soil organic carbon pools with visible to near infrared spectroscopy
- (2011) Michael Vohland et al. GEODERMA
- Feature selection and parameter optimization for support vector machines: A new approach based on genetic algorithm with feature chromosomes
- (2010) Mingyuan Zhao et al. EXPERT SYSTEMS WITH APPLICATIONS
- 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
- Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy
- (2010) Véronique Bellon-Maurel et al. TRAC-TRENDS IN ANALYTICAL CHEMISTRY
- A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data
- (2009) Bjoern H Menze et al. BMC BIOINFORMATICS
- Improved analysis and modelling of soil diffuse reflectance spectra using wavelets
- (2009) R. A. Viscarra Rossel et al. EUROPEAN JOURNAL OF SOIL SCIENCE
- Changes in soil fertility parameters and the environmental effects in a rapidly developing region of China
- (2008) Jeremy L. Darilek et al. AGRICULTURE ECOSYSTEMS & ENVIRONMENT
- Regression rules as a tool for predicting soil properties from infrared reflectance spectroscopy
- (2008) Budiman Minasny et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- ParLeS: Software for chemometric analysis of spectroscopic data
- (2007) Raphael A. Viscarra Rossel CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish 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