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Enhancing Soil Property Prediction with Mid-Infrared Spectra: Fine Grinding Not Always Needed

https://doi.org/10.2139/ssrn.4984618
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/saj2.20021openalex-snapshot
Grinding and spectra replication often improves mid‐DRIFTS predictions of soil properties
inferredcites →https://doi.org/10.1002/saj2.20194openalex-snapshot
Fine grinding is needed to maintain the high accuracy of mid‐infrared diffuse reflectance spectroscopy for soil property estimation
inferredcites →https://doi.org/10.1016/bs.agron.2015.02.002openalex-snapshot
Soil Spectroscopy: An Alternative to Wet Chemistry for Soil Monitoring
inferredcites →https://doi.org/10.1016/j.chemolab.2004.12.011openalex-snapshot
Performance of some variable selection methods when multicollinearity is present
inferredcites →https://doi.org/10.1016/j.chemolab.2008.06.003openalex-snapshot
Regression rules as a tool for predicting soil properties from infrared reflectance spectroscopy
inferredcites →https://doi.org/10.1016/j.chemolab.2009.04.005openalex-snapshot
The prediction of soil chemical and physical properties from mid-infrared spectroscopy and combined partial least-squares regression and neural networks (PLS-NN) analysis
inferredcites →https://doi.org/10.1016/j.geoderma.2005.03.007openalex-snapshot
Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties
inferredcites →https://doi.org/10.1016/j.geoderma.2009.12.025openalex-snapshot
Using data mining to model and interpret soil diffuse reflectance spectra
inferredcites →https://doi.org/10.1016/j.geoderma.2013.07.017openalex-snapshot
Mid-infrared attenuated total reflectance spectroscopy for soil carbon and particle size determination
inferredcites →https://doi.org/10.1016/j.geoderma.2014.01.013openalex-snapshot
Determination of soil properties with visible to near- and mid-infrared spectroscopy: Effects of spectral variable selection
inferredcites →https://doi.org/10.1016/j.geoderma.2022.116103openalex-snapshot
Soil moisture effects on predictive VNIR and MIR modeling of soil organic carbon and clay content
inferredcites →https://doi.org/10.1016/j.microc.2021.106836openalex-snapshot
Spectral characteristics of organic soil matter: A comprehensive review
inferredcites →https://doi.org/10.1016/j.saa.2022.121441openalex-snapshot
A comparative study of MIR and NIR spectral models using ball-milled and sieved soil for the prediction of a range soil physical and chemical parameters
inferredcites →https://doi.org/10.1016/j.soisec.2023.100104openalex-snapshot
Diffuse reflectance mid-infrared spectroscopy is viable without fine milling
inferredcites →https://doi.org/10.1016/j.vibspec.2016.02.005openalex-snapshot
Assessment of soil quality of arable soils in Hungary using DRIFT spectroscopy and chemometrics
inferredcites →https://doi.org/10.1016/s0065-2113(10)07005-7openalex-snapshot
Visible and Near Infrared Spectroscopy in Soil Science
inferredcites →https://doi.org/10.1038/nature15744openalex-snapshot
Soil biodiversity and human health
inferredcites →https://doi.org/10.1071/sr13077openalex-snapshot
Predicting contents of carbon and its component fractions in Australian soils from diffuse reflectance mid-infrared spectra
inferredcites →https://doi.org/10.1071/sr15019openalex-snapshot
How does grinding affect the mid-infrared spectra of soil and their multivariate calibrations to texture and organic carbon?
inferredcites →https://doi.org/10.1071/sr16011openalex-snapshot
Effects of soil composition and preparation on the prediction of particle size distribution using mid-infrared spectroscopy and partial least-squares regression
inferredcites →https://doi.org/10.1071/sr9910049openalex-snapshot
Diffuse reflectance infrared fourier transform (DRIFT) spectroscopy in soil studies
inferredcites →https://doi.org/10.1080/00103628709367799openalex-snapshot
A micro‐pipette method for soil mechanical analysis
inferredcites →https://doi.org/10.1080/00387010500315876openalex-snapshot
Mid‐ and Near‐Infrared Spectroscopic Determination of Carbon in a Diverse Set of Soils from the Brazilian National Soil Collection
inferredcites →https://doi.org/10.1080/05704928.2013.811081openalex-snapshot
The Performance of Visible, Near-, and Mid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties
inferredcites →https://doi.org/10.1097/00010694-200107000-00006openalex-snapshot
THE LANCASTER SOIL TEST METHOD AS AN ALTERNATIVE TO THE MEHLICH 3 SOIL TEST METHOD1
inferredcites →https://doi.org/10.1111/ejss.13180openalex-snapshot
Performance of field‐scale lab vs in situ visible/near‐ and mid‐infrared spectroscopy for estimation of soil properties
inferredcites →https://doi.org/10.1111/ejss.13271openalex-snapshot
Diffuse reflectance spectroscopy for estimating soil properties: A technology for the 21st century
inferredcites →https://doi.org/10.1111/gcb.13068openalex-snapshot
Global change pressures on soils from land use and management
inferredcites →https://doi.org/10.1111/j.1365-2389.2011.01401.xopenalex-snapshot
Sample preparation and selection for qualitative and quantitative analyses of soil organic carbon with mid‐infrared reflectance spectroscopy
inferredcites →https://doi.org/10.1255/jnirs.31openalex-snapshot
Near- versus Mid-Infrared Diffuse Reflectance Spectroscopy for the Quantitative Determination of the Composition of Forages and By-Products
inferredcites →https://doi.org/10.1366/0003702894202201openalex-snapshot
Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra
inferredcites →https://doi.org/10.18637/jss.v028.i05openalex-snapshot
Building Predictive Models in R Using the caret Package
inferredcites →https://doi.org/10.2134/jeq2010.0169openalex-snapshot
Spectroscopic Approaches for Phosphorus Speciation in Soils and Other Environmental Systems
inferredcites →https://doi.org/10.2136/sssaj2017.10.0361openalex-snapshot
Predicting Physical and Chemical Properties of US Soils with a Mid‐Infrared Reflectance Spectral Library
inferredcites →https://doi.org/10.3389/fsoil.2026.1760011openalex-snapshot
Soil spectroscopy improves mid infrared soil property prediction through optimized preprocessing and variable selection
inferredcites →https://doi.org/10.3390/land13020154openalex-snapshot
Predicting Soil Properties for Agricultural Land in the Caucasus Mountains Using Mid-Infrared Spectroscopy
inferredcites →https://doi.org/10.3390/rs14215627openalex-snapshot
Global Soil Salinity Prediction by Open Soil Vis-NIR Spectral Library
inferredcites →https://doi.org/10.3390/rs15020465openalex-snapshot
Towards Optimal Variable Selection Methods for Soil Property Prediction Using a Regional Soil Vis-NIR Spectral Library
inferredcites →https://doi.org/10.3390/s18040993openalex-snapshot
Comparison of Portable and Bench-Top Spectrometers for Mid-Infrared Diffuse Reflectance Measurements of Soils
inferredcites →https://doi.org/10.3390/s23229171openalex-snapshot
Soil Particle Size Thresholds in Soil Spectroscopy and Its Effect on the Multivariate Models for the Analysis of Soil Properties
inferredcites →https://doi.org/10.3390/su7055875openalex-snapshot
Restoring Soil Quality to Mitigate Soil Degradation
inferredcites →https://doi.org/10.5194/soil-7-693-2021openalex-snapshot
The central African soil spectral library: a new soil infrared repository and a geographical prediction analysis
inferredcites →https://doi.org/10.5194/soil-7-717-2021openalex-snapshot
Estimation of soil properties with mid-infrared soil spectroscopy across yam production landscapes in West Africa
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