Retraction notice to “Knowledge-guided machine learning captures key mechanistic pathways for better predicting spatio-temporal patterns of growing season N2O emissions in the U.S. Midwest” [Agricultural and Forest Meteorology 373 (2025) 110750]

Lexuan Ye; Licheng Liu; Yufeng Yang; Ziyi Li; Wang Zhou; Bin Peng; Shaoming Xu; Vipin Kumar; Wendy H. Yang; Jinyun Tang; Zhenong Jin; Kaiyu Guan

doi:10.1016/j.agrformet.2025.110998

Retraction notice to “Knowledge-guided machine learning captures key mechanistic pathways for better predicting spatio-temporal patterns of growing season N2O emissions in the U.S. Midwest” [Agricultural and Forest Meteorology 373 (2025) 110750]

Agricultural and Forest Meteorology 2026 Open access

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Authors: Lexuan Ye, Licheng Liu, Yufeng Yang, Ziyi Li, Wang Zhou, Bin Peng, Shaoming Xu, Vipin Kumar, Wendy H. Yang, Jinyun Tang, Zhenong Jin, Kaiyu Guan

DOI: 10.1016/j.agrformet.2025.110998

Cited by: 0

Fields of Study & Subjects

Air Quality Monitoring and Forecasting Atmospheric chemistry and aerosols Plant responses to elevated CO2

Publication details

Journal / source: Agricultural and Forest Meteorology
Volume: 378
Pages: 110998–110998
Publication date: 9 January 2026
Language: EN