In the original article, the following line in paragraph two of the “Results and Discussion” section was incorrect: “The outputs from GCMs, however, are only available as monthly averages which makes it difficult to capture the effect of weather extremes on yield.”
The correct version of this line is as follows: “The outputs from the current generation of GCMs, however, are usually not thought to be credible at the spatiotemporal resolutions required to directly capture the effect of weather extremes on crop yield.”
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Summary
Keywords
crop yield, weather indices, nonlinear regression, pairwise dependence, food security
Citation
Konduri VS, Vandal TJ, Ganguly S and Ganguly AR (2020) Corrigendum: Data Science for Weather Impacts on Crop Yield. Front. Sustain. Food Syst. 4:569645. doi: 10.3389/fsufs.2020.569645
Received
04 June 2020
Accepted
03 September 2020
Published
02 November 2020
Volume
4 - 2020
Edited and reviewed by
Stephen Whitfield, University of Leeds, United Kingdom
Updates
Copyright
© 2020 Konduri, Vandal, Ganguly and Ganguly.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Venkata Shashank Konduri konduri.v@husky.neu.edu
This article was submitted to Climate-Smart Food Systems, a section of the journal Frontiers in Sustainable Food Systems
Disclaimer
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