APA (7th ed.) Citation

Rahmani, S. R., Libohova, Z., Ackerson, J. P., & Schulze, D. G. (2023). Estimating natural soil drainage classes in the Wisconsin till plain of the Midwestern U.S.A. based on lidar derived terrain indices: Evaluating prediction accuracy of multinomial logistic regression and machine learning algorithms. Geoderma Regional, 35, e00728. https://doi.org/10.1016/j.geodrs.2023.e00728

Chicago Style (17th ed.) Citation

Rahmani, Shams R., Zamir Libohova, Jason P. Ackerson, and Darrell G. Schulze. "Estimating Natural Soil Drainage Classes in the Wisconsin Till Plain of the Midwestern U.S.A. Based on Lidar Derived Terrain Indices: Evaluating Prediction Accuracy of Multinomial Logistic Regression and Machine Learning Algorithms." Geoderma Regional 35 (2023): e00728. https://doi.org/10.1016/j.geodrs.2023.e00728.

MLA (9th ed.) Citation

Rahmani, Shams R., et al. "Estimating Natural Soil Drainage Classes in the Wisconsin Till Plain of the Midwestern U.S.A. Based on Lidar Derived Terrain Indices: Evaluating Prediction Accuracy of Multinomial Logistic Regression and Machine Learning Algorithms." Geoderma Regional, vol. 35, 2023, p. e00728, https://doi.org/10.1016/j.geodrs.2023.e00728.