A machine learning algorithm to explore the impact of agricultural land-use types on CO2 emissions in Vietnam in the period 1990-2019.
Saved in:
| Title: | A machine learning algorithm to explore the impact of agricultural land-use types on CO2 emissions in Vietnam in the period 1990-2019. |
|---|---|
| Authors: | Nguyen AT; VNU University of Economics and Business, Vietnam National University, Hanoi, Vietnam., Nguyen TA; VNU University of Economics and Business, Vietnam National University, Hanoi, Vietnam., Tran TH; VNU University of Economics and Business, Vietnam National University, Hanoi, Vietnam., Doan XT; VNU University of Economics and Business, Vietnam National University, Hanoi, Vietnam., Trinh Phuong N; Tan Trao University, Tuyen Quang, Vietnam., Thi TT; Sai Gon University, Ho Chi Minh City, Vietnam., Le NA; RMIT University, Ho Chi Minh City, Vietnam., Do Thi T; School of Hospitality and Tourism, Hue University, Hue City, Vietnam., Le Huyen T; VNU University of Economics and Business, Vietnam National University, Hanoi, Vietnam. |
| Source: | PloS one [PLoS One] 2026 Jun 11; Vol. 21 (6), pp. e0350920. Date of Electronic Publication: 2026 Jun 11 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1932-6203 |
|---|---|
| DOI: | 10.1371/journal.pone.0350920 |
