Dynamically Controlled Environment Agriculture: Integrating Machine Learning and Mechanistic and Physiological Models for Sustainable Food Cultivation-Reference-Cited by-同舟云学术

Dynamically Controlled Environment Agriculture: Integrating Machine Learning and Mechanistic and Physiological Models for Sustainable Food Cultivation

Published:2021-11-13 Issue:1 Volume:2 Page:3-19
ISSN:2690-0645
Container-title:ACS ES&T Engineering
language:en
Short-container-title:ACS EST Eng.

Author:

Cohen Abigail Rae¹,Chen Gerry²,Berger Eli Matthew¹,Warrier Sushmita³,Lan Guanghui⁴,Grubert Emily¹^ORCID,Dellaert Frank²,Chen Yongsheng¹^ORCID

Affiliation:

1. School of Civil and Environmental Engineering, Georgia Institute of Technology, 200 Bobby Dodd Way, Atlanta, Georgia 30332, United States

2. School of Interactive Computing, Georgia Institute of Technology, Technology Square Research Building, 85 5th St NW, Atlanta, Georgia 30308, United States

3. School of Electrical and Computer Engineering, Georgia Institute of Technology, 777 Atlantic Drive, Atlanta, Georgia 30313, United States

4. H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, 755 Ferst Drive NW, Atlanta, Georgia 30332, United States

Funder

Division of Undergraduate Education

National Institute of Food and Agriculture

Division of Engineering Education and Centers

National Science Foundation

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsestengg.1c00269

Reference166 articles.

1. Human Domination of Earth's Ecosystems

2. Life cycle assessment of corn grain and corn stover in the United States