The soilspec package: data and functions for the book 'Soil Spectral Inference with R'

A set of hands-on coding exercises to solve common tasks and simple problems in agricultural sciences.

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.

An R implementation of the DSMART algorithm

Soil Sample and Soil Profile Datasets: an Open Compilation

Expandable And Scalable Infrastructure for Finite Element Methods, EASIFEM, is [Modern Fortran](https://fortran-lang.org) framework for solving partial differential equations (PDEs) using finite element methods. EASIFEM "eases" the efforts to develop scientific programs in Fortran.

Conformal Prediction for Digital Soil Mapping

The scripts contained in this repository relate directly to the work conducted by the Tree Root Microbiome Project (TRMP) led by Dr Steve Wakelin.

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 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.

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

Course material for LSU AGRO 4092: R for Spatial Analysis & Visualization

Comparing different data preprocessing methods to predict soil organic carbon content on soil spectra features

Personal blog

A proof of concept of how a holistic data-driven approach could be used to make better future planning decisions for land zoning.

Welcome to the Geographic AI for Soil Assessment gaia interface, your ultimate companion in Predicting and visualizing soil microbial biodiversity.

This repository collects material (code, presentation, images, test data) prepared for the webinar series of the Excalibur H2020 Training

This Repository compared which models and feature selection combination is best to use on SOC content prediction using Environmental Covariate.

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.

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