Deficit irrigation and organic amendments can reduce dietary arsenic risk from rice: Introducing machine learning-based prediction models from field data-Reference-Cited by-同舟云学术

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

Published:2021-10 Issue: Volume:319 Page:107516
ISSN:0167-8809
Container-title:Agriculture, Ecosystems & Environment
language:en
Short-container-title:Agriculture, Ecosystems & Environment

Author:

Sengupta Sudip,Bhattacharyya Kallol,Mandal Jajati,Bhattacharya Parijat,Halder Sanjay,Pari Arnab

Funder

Indian Council of Agricultural Research

Publisher

Elsevier BV

Subject

Agronomy and Crop Science,Animal Science and Zoology,Ecology

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