Determination of bioavailable arsenic threshold and validation of modelled permissible total arsenic in paddy soil using machine learning
(2023)
Journal Article
Mandal, J., Jain, V., Sengupta, S., Rahman, M. A., Bhattacharyya, K., Rahman, M., …Mondal, D. (in press). Determination of bioavailable arsenic threshold and validation of modelled permissible total arsenic in paddy soil using machine learning. Journal of Environmental Quality, https://doi.org/10.1002/jeq2.20452
Minimizing arsenic intake from food consumption is a key aspect of the public health response in As-contaminated regions. In many of these regions, rice is the predominant staple food. Here we present a validated maximum allowable concentration of to... Read More about Determination of bioavailable arsenic threshold and validation of modelled permissible total arsenic in paddy soil using machine learning.