Artificial Intelligence Approach for Estimating Dairy Methane Emissions-Reference-Cited by-同舟云学术

Artificial Intelligence Approach for Estimating Dairy Methane Emissions

Published:2022-04-01 Issue:8 Volume:56 Page:4849-4858
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Jeong Seongeun¹^ORCID,Fischer Marc L.¹^ORCID,Breunig Hanna¹^ORCID,Marklein Alison R.²,Hopkins Francesca M.²,Biraud Sebastien C.¹

Affiliation:

1. Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, United States

2. University of California, Riverside, 900 University Avenue, Riverside, California 92521, United States

Funder

California Energy Commission

University of California

Lawrence Berkeley National Laboratory

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.1c08802

Reference38 articles.

1. Intergovernmental Panel on Climate Change. Climate Change 2013─The Physical Science Basis: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Chang. Cambridge University Press: Cambridge, 2014.

2. Legislative Information Senate Bill No. 32. https://leginfo.legislature.ca.gov/faces/billNavClient.xhtml?bill_id=201520160SB32 (accessed April 30, 2021).

3. Legislative Information Senate Bill No. 1383. https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=201520160SB1383 (accessed 30 April 2021).

4. CARB Documentation of California’s 2000-2018 GHG Inventory. https://ww2.arb.ca.gov/applications/california-ghg-inventory-documentation (accessed April 30, 2021).

5. USDA Milk Production. https://www.nass.usda.gov/Publications/Todays_Reports/reports/mkpr0220.pdf (accessed 30 April 2021).

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