Application of Machine Learning Algorithms in Nitrous Oxide (N<sub>2</sub>O) Emission Estimation in Data-Sparse Agricultural Landscapes

Application of Machine Learning Algorithms in Nitrous Oxide (N<sub>2</sub>O) Emission Estimation in Data-Sparse Agricultural Landscapes

To understand if machine learning algorithms could be employed in agricultural landscapes to estimate N<sub>2</sub>O emissions, multiple linear regression (MLR), random forest regression (RFR), support vector regression (SVR) and artificial neural network (ANN) algorithms are tested on a...

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Bibliographic Details
Main Authors: Uttam Ghimire, Waqar Ashiq, Asim Biswas, Wanhong Yang, Prasad Daggupati
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Atmosphere
Subjects:
artificial neural networks
multiple linear regression
N<sub>2</sub>O
random forest regression
support vector regression
Online Access:https://www.mdpi.com/2073-4433/16/6/703
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