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 Sample and Soil Profile Datasets: an Open Compilation
A simple and light CNN-based regression model for soil parameters estimation from hyperspectral images.
Large-scale digital mapping of soil organic carbon content by using machine learning algorithms
Open datasets for crop modeling describing climate and soil in France.
🌱A machine learning web and mobile application for soil type classification for plant decision making
Repository of Jupyter notebooks aimed at learning how to use Python to retrieve data from Google Earth Engine
APIs for soil quality, types and other factors in Germany
SWAT+ model input data preparation helper
Soil Data Access Scripts
The scripts contained in this repository relate directly to the work conducted by the Tree Root Microbiome Project (TRMP) led by Dr Steve Wakelin.
Code for analysis of soils, crops, and nutrition along a distance-to-forest gradient in Ethiopia
Application for Soil health identification. Air health identification. Upcoming feature for agriculture, land Mining and other research purpose through using machine learning and artificial Intelligence and culminating into a vast application for computer vision also.
MASSAI multi-agent simulation of sustainable agricultural intensification
simple tool to find intersections
Comparing different data preprocessing methods to predict soil organic carbon content on soil spectra features
Reproducible Research Compendium for "Improving Models to Predict Holocellulose and Klason Lignin Contents for Peat Soil Organic Matter with Mid-Infrared Spectra" and "The need to reinterpret Hodgkins et al. (2018)".
Ongoing research on several projects..
Published original data and R code from “Above- and belowground plant pathogens along elevational gradients: patterns and potential mechanisms”
Rhizosphere interactions under diverse canola genotypes: a key component in nitrogen use efficiency
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