Saha, Debasish https://orcid.org/0000-0001-9425-675X
Basso, Bruno https://orcid.org/0000-0003-2090-4616
Robertson, G Philip
Funding for this research was provided by:
USDA Long-term Agroecosystem Research Program
Biological and Environmental Research (DE-SC0018409)
National Science Foundation (DEB 1832042)
Journal title: Environmental Research Letters
Article type: lett
Article title: Machine learning improves predictions of agricultural nitrous oxide (N2O) emissions from intensively managed cropping systems
Copyright information: © 2021 The Author(s). Published by IOP Publishing Ltd
License information: cc-by Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Publication dates
Date received: 2020-06-17
Date accepted: 2020-12-11
Online publication date: 2021-01-19