Publication | Open Access

Deficit irrigation and organic amendments can reduce dietary arsenic risk from rice: Introducing machine learning-based prediction models from field data

Dietary Arsenic RiskPrecision AgricultureEngineeringMachine LearningData ScienceMetalloid ContaminationPredictive AnalyticsOrganic AmendmentsAgricultural EconomicsWater QualityYield PredictionDeficit Irrigation