Real-Time Sensor Data Profile-Based Deep Learning Method Applied to Open Raceway Pond Microalgal Productivity Prediction-Reference-Cited by-同舟云学术

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Real-Time Sensor Data Profile-Based Deep Learning Method Applied to Open Raceway Pond Microalgal Productivity Prediction

Published:2023-05-26 Issue:46 Volume:57 Page:17981-17989
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Igou Thomas¹,Zhong Shifa²^ORCID,Reid Elliot¹,Chen Yongsheng¹^ORCID

Affiliation:

1. School of Civil & Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States

2. Department of Environmental Science, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, PR China

Funder

National Institute of Food and Agriculture

Biomass Program

Division of Engineering Education and Centers

Division of Civil, Mechanical and Manufacturing Innovation

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.2c07578

Reference53 articles.

1. HOW MANY SPECIES OF ALGAE ARE THERE?

2. Algae: the world’s most important “plants”—an introduction

3. Marine microalgae commercial production improves sustainability of global fisheries and aquaculture

4. Nannochloropsis oceanica, a novel natural source of rumen-protected eicosapentaenoic acid (EPA) for ruminants

5. Fatty acid composition of 12 microalgae for possible use in aquaculture feed

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