Data for: Using machine learning to quantify the impacts of genetically modified crops on US Midwest corn yields

Name: Data for: Using machine learning to quantify the impacts of genetically modified crops on US Midwest corn yields
Creator: Paul Johnson
Published: 2019-08-07T08:01:15.087Z
Keywords: Machine Learning, Principal Component Analysis, Genetically Modified Food, Crop Yields, Bayesian Analysis

Johnson, Paul; Camp, Janey; Bennartz, Ralf

doi:10.17632/mhrh7d7hhr.1

Data for: Using machine learning to quantify the impacts of genetically modified crops on US Midwest corn yields

Published: 7 August 2019| Version 1 | DOI: 10.17632/mhrh7d7hhr.1

Contributors:

Paul Johnson, Janey Camp, Ralf Bennartz

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This repository contains the R scripts and data necessary to recreate the accompanying analysis.

Data for: Using machine learning to quantify the impacts of genetically modified crops on US Midwest corn yields

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