EGU25-13262, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-13262
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Using Machine Learning Algorithms for Spatial Prediction of Soil Organic Carbon Based on Environmental Variables and Soil Physicochemical Parameters in the Mediterranean Region
Hassan Mosaid1, Ahmed Barakat1, and Kingsley John2
Hassan Mosaid et al.
  • 1Geomatics, Georesources and Environment Laboratory, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Béni Mellal, Morocco (h.mosaid@usms.ma)
  • 2Department of Plant, Food, and Environmental Sciences, Faculty of Agriculture, Dalhousie University, Truro, NS B2N 5E3, Canada (john.kingsley@dal.ca)

How to cite: Mosaid, H., Barakat, A., and John, K.: Using Machine Learning Algorithms for Spatial Prediction of Soil Organic Carbon Based on Environmental Variables and Soil Physicochemical Parameters in the Mediterranean Region, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-13262, https://doi.org/10.5194/egusphere-egu25-13262, 2025.

This abstract has been withdrawn on 25 Jul 2025.