1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data

LUCAS Soil Texture Processing Scripts

Dados e métodos para plotar um diagrama ternário com uma camada de classificação de texturas do solo.

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.

A web app which classify the soil using its textural composition (Sand, Silt and Clay). It returns the type of soil and also plot the ternary graph for that soil. This app helps determining the soil type easily and without manual calculations.

FlahaSoil is advanced web application provides interactive USDA Soil Textural Triangle visualization, helping agricultural professionals, farmers, soil scientists, and researchers understand soil composition, water characteristics, and crop suitability.

R implementation of the "similarity" (k-NN) method for harmonizing soil particle-size distributions between classification systems. Based on Nemes et al. (1999) and related studies, supports transformation from various national particle-size classification systems, enabling accurate clay–silt–sand fraction estimation for environmental modeling.