Deficit irrigation and organic amendments can reduce dietary arsenic risk from rice: Introducing machine learning-based prediction models from field data
Sudip Sengupta, Kallol Bhattacharyya, Jajati Mandal, P. Bhattacharya, Sanjay Halder, Arnab Pari
Topics & Concepts
IrrigationAgricultural engineeringField (mathematics)Environmental sciencePaddy fieldArsenicRisk assessmentAgronomyComputer scienceMathematicsEngineeringChemistryBiologyPure mathematicsComputer securityOrganic chemistryArsenic contamination and mitigationHeavy metals in environment