Subject
Creator
- Aihua Huang 1
- Alison J Eagle 1
- Ardell D. Halvorson 1
- Bijesh Maharjan 1
- Craig F. Drury 1
- Douglas R. Smith 1
- G. Philip Robertson 1
- John P. Hoben 1
- John W. Sutherland, 0000-0002-2118-0907 1
- Rodney T. Venterea 1
Type
- Dataset 2
Date
subject: Empirical Models type: dataset
Total is 2 Results
Evaluating Economic Opportunities for Product Recycling via the Sherwood Principle and Machine Learning - Supporting Information
10.4231/E80W-7941
Aihua Huang
,
John W. Sutherland
,
Sidi Deng
,
Xiaoyu Zhou
,
Yuehwern Yih
09/03/2020
This repository contains the supporting information for the manuscript regarding Sherwood principle and Machine learning. All critical underlying data files, along with a flow chart that describes the methodologies applied in the paper are enclosed.
Circular Economy Empirical Models Environmental and Ecological Engineering Machine Learning Sherwood Principle
Data for Fertilizer Management and Environmental Factors Drive N2O and NO3 Losses in Corn: A Meta-Analysis
10.4231/R7NS0S57
Alison J Eagle , Ardell D. Halvorson , Bijesh Maharjan , Craig F. Drury , Douglas R. Smith , G. Philip Robertson , John P. Hoben , Rodney T. Venterea , Timothy B. Parkin
11/12/2018
Data used in Eagle et al. 2017 (Soil Sci. Soc. Am. J. 81:1191–1202; doi:10.2136/sssaj2016.09.0281). Fertilizer Management and Environmental Factors Drive N2O and NO3 Losses in Corn: A Meta-Analysis
4R Nutrient Management Agriculture Climate Change Corn Empirical Models Hierarchical Model IPNI Maize Meta-analysis Nitrate Leaching Nitrogen Nitrogen Fertilizer Nitrous Oxide North America Synthesis Water Quality
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