soil-science

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

Soil Sample and Soil Profile Datasets: an Open Compilation

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.

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

Portable Claude Code skills for Digital Soil Mapping

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.

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.

An R implementation of the DSMART algorithm

A research-grade tool for comprehensive spatial and descriptive analysis of soils.

Python client for USDA-NRCS Soil Data

Hemusci 专业智能体技能目录｜科研写作、R 科研绘图、期刊投稿格式、土壤试验方法与三普报告，五个独立技能仓库及安装入口。

Conformal Prediction for Digital Soil Mapping

Tools for calculating Soil Quality Index (SQI) using scientifically validated methods

R package that optimizes spatial sampling locations using ML models such as Bayesian Deep Learning (BDL), Unified Deep Learning (UDL), and Random Forest (RF).

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

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

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

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.

Soil Organic Carbon estimation from Vis-NIR hyperspectral data using multi-model ensemble (RF, GPR, Gradient Boosting, PLSR, Stacking) with 10-fold stratified CV — Best R² = 0.785