Machine learning and remote sensing for soil heavy metal(loid) risk assessment: A systematic review of multi-source data fusion, benchmarking, and explainable AI.
Soil heavy metal(loid) contamination threatens food security and public health, but conventional monitoring alone cannot provide the spatial coverage required for effective risk assessment and management. This PRISMA-compliant review synthesizes 245 eligible reports published between 2015 and 2025 on machine learning a...