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

• UpdatedFeb 13, 2025
• Jupyter Notebook

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

• UpdatedFeb 19, 2022
• R

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.

• UpdatedApr 5, 2021
• Dart

An R implementation of the DSMART algorithm

• UpdatedJan 10, 2024
• R

Soil Sample and Soil Profile Datasets: an Open Compilation

• UpdatedFeb 5, 2025
• TeX

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.

• UpdatedMar 6, 2025
• Fortran

Conformal Prediction for Digital Soil Mapping

• UpdatedJan 23, 2024
• Jupyter Notebook

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.

• UpdatedAug 20, 2023
• R

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.

• UpdatedJan 2, 2023
• R

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

• UpdatedFeb 7, 2024
• HTML

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

• UpdatedJun 2, 2022
• R

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

• UpdatedFeb 20, 2025
• HTML

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

• UpdatedAug 19, 2024
• Jupyter Notebook

R script for analyzing soil texture based on Geophilus measurements. Generates comprehensive reports with detailed visualizations and statistical summaries of sand, silt, and clay percentages.

• UpdatedSep 17, 2024
• TeX

A Python package for handling soil spectroscopy data, with a focus on the Open Soil Spectral Library (OSSL).

• UpdatedFeb 1, 2025
• Jupyter Notebook

Provides Scikit-Learn compatible transforms for spectroscopic data preprocessing.

• UpdatedJan 24, 2025
• Jupyter Notebook

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

• UpdatedSep 23, 2018
• R

The fingR package is designed to support sediment source fingerprinting studies: dataset characterisation, tracer selection from analysed properties using the three-step method, modelling of source contributions using the Bayesian Mixing Model (BMM), and evaluation of model predictions using virtual mixtures, and it supports BMM and MixSIAR models.

• UpdatedNov 14, 2024
• R

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).

• UpdatedJun 2, 2023
• R

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

• UpdatedOct 15, 2021
• Python