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A machine learning algorithm to explore the impact of agricultural land-use types on CO2 emissions in Vietnam in the period 1990–2019
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An Thinh Nguyen,
Roles Conceptualization, Supervision, Visualization, Writing – original draft, Writing – review & editing, Conceptualization, Supervision, Visualization, Writing – original draft, Writing – review & editing
Affiliation VNU University of Economics and Business, Vietnam National University, Hanoi, Vietnam
⨯ - Tuong Anh Nguyen,
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The Hoang Tran,
Roles Data curation, Formal analysis, Data curation, Formal analysis
Affiliation VNU University of Economics and Business, Vietnam National University, Hanoi, Vietnam
⨯ -
Xuan Truc Doan,
Roles Data curation, Formal analysis, Data curation, Formal analysis
Affiliation VNU University of Economics and Business, Vietnam National University, Hanoi, Vietnam
⨯ -
Ngoc Trinh Phuong ,
Roles Conceptualization, Project administration, Visualization, Writing – original draft, Writing – review & editing
* E-mail: tpngoc@tqu.edu.vn
Affiliation Tan Trao University, Tuyen Quang, Vietnam
⨯ - Tuyen Tran Thi,
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Ngoc Anh Le,
Roles Writing – original draft, Writing – original draft
Affiliation RMIT University, Ho Chi Minh City, Vietnam
⨯ - Thao Do Thi,
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Trang Le Huyen
Roles Writing – original draft, Writing – original draft
Affiliation VNU University of Economics and Business, Vietnam National University, Hanoi, Vietnam
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https://orcid.org/0000-0002-9738-2142
A machine learning algorithm to explore the impact of agricultural land-use types on CO2 emissions in Vietnam in the period 1990–2019
- An Thinh Nguyen,
- Tuong Anh Nguyen,
- The Hoang Tran,
- Xuan Truc Doan,
- Ngoc Trinh Phuong,
- Tuyen Tran Thi,
- Ngoc Anh Le,
- Thao Do Thi,
- Trang Le Huyen
- Published: June 11, 2026
- https://doi.org/10.1371/journal.pone.0350920