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Novel Insights on Multivariate Modelling of Agricultural Soil Organic Carbon and Total Nitrogen from Diverse Ft-Nir Spectral Dataset
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inferredcites →https://doi.org/10.1016/j.biosystemseng.2016.04.018openalex-extracted
Machine learning based prediction of soil total nitrogen, organic carbon and moisture content by using VIS-NIR spectroscopy
inferredcites →https://doi.org/10.1016/j.chemolab.2020.104105openalex-extracted
Investigating the need for preprocessing of near-infrared spectroscopic data as a function of sample size
inferredcites →https://doi.org/10.1016/j.geoderma.2014.02.002openalex-extracted
Sampling optimal calibration sets in soil infrared spectroscopy
inferredcites →https://doi.org/10.1016/j.geoderma.2015.12.031openalex-extracted
Variable indicators for optimum wavelength selection in diffuse reflectance spectroscopy of soils
inferredcites →https://doi.org/10.1016/j.geoderma.2016.11.015openalex-extracted
Effect of calibration set size on prediction at local scale of soil carbon by Vis-NIR spectroscopy
inferredcites →https://doi.org/10.1016/j.geoderma.2018.10.010openalex-extracted
Climate change, agricultural inputs, cropping diversity, and environment affect soil carbon and respiration: A case study in Saskatchewan, Canada
inferredcites →https://doi.org/10.1016/j.geoderma.2022.116048openalex-extracted
GLOBAL-LOCAL: A new approach for local predictions of soil organic carbon content using large soil spectral libraries
inferredcites →https://doi.org/10.1016/j.rse.2008.01.016openalex-extracted
Continuous wavelets for the improved use of spectral libraries and hyperspectral data
inferredcites →https://doi.org/10.1016/j.saa.2019.117863openalex-extracted
Application of Vis-NIR spectroscopy for determination the content of organic matter in saline-alkali soils
inferredcites →https://doi.org/10.1016/j.scitotenv.2022.156822openalex-extracted
Impacts of the components of conservation agriculture on soil organic carbon and total nitrogen storage: A global meta-analysis
inferredcites →https://doi.org/10.1016/j.still.2015.07.021openalex-extracted
Estimating the soil clay content and organic matter by means of different calibration methods of vis-NIR diffuse reflectance spectroscopy
inferredcites →https://doi.org/10.1016/j.still.2020.104808openalex-extracted
A combined data mining approach for on-line prediction of key soil quality indicators by Vis-NIR spectroscopy
inferredcites →https://doi.org/10.1016/j.vibspec.2022.103409openalex-extracted
The application of statistical preprocessing on spectral data does not always guarantee the improvement of the predictive quality of multivariate models: Case of soil spectroscopy applied to Moroccan soils
inferredcites →https://doi.org/10.1017/cbo9780511841040openalex-extracted
Wavelet Methods for Time SeriesAnalysis
inferredcites →https://doi.org/10.1080/00103624.2011.546930openalex-extracted
Soil-Quality Indicators for Predicting Sustainable Organic Rice Production
inferredcites →https://doi.org/10.1080/17583004.2019.1633231openalex-extracted
Quantifying carbon for agricultural soil management: from the current status toward a global soil information system
inferredcites →https://doi.org/10.1111/ejss.13192openalex-extracted
Estimating soil chemical properties by diffuse reflectance spectroscopy: Promise versus reality
inferredcites →https://doi.org/10.1111/ejss.13271openalex-extracted
Diffuse reflectance spectroscopy for estimating soil properties: A technology for the 21st century
inferredcites →https://doi.org/10.1201/9781420005271openalex-extracted
Soil Sampling and Methods of Analysis
inferredcites →https://doi.org/10.32614/r.manualsopenalex-extracted
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.3390/agriculture12040462openalex-extracted
Fertilizer Use, Soil Health and Agricultural Sustainability
inferredcites →https://doi.org/10.3390/agriculture12081197openalex-extracted
Continuous Wavelet Transform and Back Propagation Neural Network for Condition Monitoring Chlorophyll Fluorescence Parameters Fv/Fm of Rice Leaves
inferredcites →https://doi.org/10.3390/s17102428openalex-extracted
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
inferredcites →https://doi.org/10.4141/cjss10022openalex-extracted
Chernozemic soils of Canada: Genesis, distribution, and classification
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