9 citations as recorded by crossref.

1. Understanding nitrogen transfer dynamics in a small agricultural catchment: Comparison of a distributed (TNT2) and a semi distributed (SWAT) modeling approaches S. Ferrant et al. 10.1016/j.jhydrol.2011.05.026
2. Integrating major agricultural practices into the TRIPLEX-GHG model v2.0 for simulating global cropland nitrous oxide emissions: Development, sensitivity analysis and site evaluation H. Song et al. 10.1016/j.scitotenv.2022.156945
3. Review of scenario analyses to reduce agricultural nitrogen and phosphorus loading to the aquatic environment F. Hashemi et al. 10.1016/j.scitotenv.2016.08.141
4. Advancing agroecosystem modelling of nitrogen losses with machine learning S. Lam et al. 10.1016/j.ecz.2024.100006
5. Proximal and distal control by pH of denitrification rate in a pasture soil J. Čuhel & M. Šimek 10.1016/j.agee.2011.02.016
6. A Low-Complexity Machine Learning Nitrate Loss Predictive Model–Towards Proactive Farm Management in a Networked Catchment H. Zia et al. 10.1109/ACCESS.2019.2901218
7. The application of Artificial Neural Network (ANN) model to the simulation of denitrification rates in mesocosm-scale wetlands K. Song et al. 10.1016/j.ecoinf.2013.04.002
8. Predicting stream N and P concentrations from loads and catchment characteristics at regional scale: A concentration ratio method F. Oehler & A. Elliott 10.1016/j.scitotenv.2011.08.025
9. Simulating the long term impact of nitrate mitigation scenarios in a pilot study basin S. Ferrant et al. 10.1016/j.agwat.2013.03.023