Comparing different data preprocessing methods to predict soil organic carbon content on soil spectra features
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Updated
Sep 23, 2018 - R
Comparing different data preprocessing methods to predict soil organic carbon content on soil spectra features
Used simple linear regression to analyze the relationship between soil nutrient supply rates and hop alpha acid content and presented a research poster at an undergraduate research symposium.
The soil mate app provides a simple and convenient way to collect soil data at sample locations in the field. The Soil Mate app is targeted across multiple industries, including agriculture, environmental science, geology, and mining. The current version of the app collects soil texture data.
Soil Heating in Fire (SheFire) Model: Annotated .Rmd scripts and an R package to build and use a SheFire model for how different soil depths heat and cool during fires
A proof of concept of how a holistic data-driven approach could be used to make better future planning decisions for land zoning.
The soilspec package: data and functions for the book 'Soil Spectral Inference with R'
Soil Heating in Fire (SheFire) Model: Annotated .Rmd scripts and an R package to build and use a SheFire model for how different soil depths heat and cool during fires
This repository contains files for automated soil sampling selection using the K-Means algorithm in R. The repository is intended for researchers and practitioners interested in automated soil sampling selection using the K-Means algorithm.
This repository collects material (code, presentation, images, test data) prepared for the webinar series of the Excalibur H2020 Training
This repository contains the R code associated with our research paper on soil health practices, developed in collaboration with the Nebraska Healthy Soils Task Force (NE-HSTF).
R scripts for predicting soil organic carbon using soil spectral library from visible, near-infrared and shortwave-infrared (VNIR) and middle-infrared (MIR) using LASSO and PLS regression methods and the target-oriented cross-validation strategy.
This was a final data project for my isotopes class at Purdue. It might not be perfect because it has being a while and it was one of my first projects using R.
This Repository compared which models and feature selection combination is best to use on SOC content prediction using Environmental Covariate.
An R implementation of the DSMART algorithm
Conformal Prediction for Digital Soil Mapping
Soil Sample and Soil Profile Datasets: an Open Compilation
The scripts contained in this repository relate directly to the work conducted by the Tree Root Microbiome Project (TRMP) led by Dr Steve Wakelin.
Course material for LSU AGRO 4092: R for Spatial Analysis & Visualization
A set of hands-on coding exercises to solve common tasks and simple problems in agricultural sciences.
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