Soil Geostatistics and Mapping

DigitalPedon: A Novel Digital Twin Framework for Soil Profile Monitoring and Global Soil Data Interoperability

DigitalPedon provides a digital twin framework for soil profiles, addressing interoperability and data gaps in soil science through real-time integration and natural language queries.

Can a history of crop rotations improve the prediction of soil organic carbon in the Andes? integrating machine learning multi-annual crop classification as a proxy of soil management

This study models soil organic carbon in the Andes using machine learning with crop rotation data, finding that fallow frequency is a key predictor of SOC when soil data are excluded.

Open Soil Spectral Library (OSSL): Building reproducible soil calibration models through open development and community engagement

The paper introduces the Open Soil Spectral Library (OSSL), a centralized resource for soil spectroscopy, and evaluates ML models for predicting soil properties using mid-infrared data.