Integrating Machine Learning and Knowledge Graphs for Explainable Soil Organic Carbon Assessment in Agroforestry Systems
This paper proposes a hybrid artificial intelligence architecture that integrates supervised machine learning with graph-based knowledge models to support explainable soil organic carbon assessment in agroforestry systems.