Deficit irrigation and organic amendments can reduce dietary arsenic risk from rice : introducing machine learning-based prediction models from field data
(2021)
Journal Article
Dietary rice consumption can assume a significant pathway of the carcinogenic arsenic (As) in the human system. In search of a viable mitigation strategy, a field experiment was conducted with rice (cv. IET-4786) at geogenically arsenic-contaminated... Read More about Deficit irrigation and organic amendments can reduce dietary arsenic risk from rice : introducing machine learning-based prediction models from field data.