Machine learning to predict biomass sorghum yields under future climate scenarios-Reference-Cited by-同舟云学术

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Machine learning to predict biomass sorghum yields under future climate scenarios

Published:2020-02-05 Issue:3 Volume:14 Page:566-577
ISSN:1932-104X
Container-title:Biofuels, Bioproducts and Biorefining
language:en
Short-container-title:Biofuels, Bioprod. Bioref.

Author:

Huntington Tyler¹²^ORCID,Cui Xinguang¹²³,Mishra Umakant¹⁴⁵,Scown Corinne D.¹⁴⁶⁷^ORCID

Affiliation:

1. Biosciences Area Lawrence Berkeley National Laboratory Berkeley California

2. Life‐Cycle, Economics and Agronomy Division Joint BioEnergy Institute Emeryville California

3. Department of Aerospace Engineering Huazhong University of Science and Technology Wuhan China

4. Joint BioEnergy Institute Emeryville California

5. Environmental Science Division Argonne National Laboratory Argonne Illinois

6. Energy Technologies Area Lawrence Berkeley National Laboratory Berkeley California

7. Energy & Biosciences Institute, University of California Berkeley California

Funder

U.S. Department of Energy

Lawrence Berkeley National Laboratory

Office of Science

Publisher

Wiley

Subject

Renewable Energy, Sustainability and the Environment,Bioengineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bbb.2087

Reference29 articles.

1. Comparison of Models for Describing; Corn Yield Response to Nitrogen Fertilizer

2. Effects of climate change on global food production under SRES emissions and socio-economic scenarios

3. Global scale climate–crop yield relationships and the impacts of recent warming

4. Take a Closer Look: Biofuels Can Support Environmental, Economic and Social Goals

5. 2016 Billion-Ton Report: Advancing Domestic Resources for a Thriving Bioeconomy

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