Assessing the impact of sampling strategy in random forest-based predicting of soil nutrients: a study case from northern Morocco

Author:

John Kingsley1,Bouslihim Yassine2ORCID,Bouasria Abdelkrim3ORCID,Razouk Rachid2ORCID,Hssaini Lahcen2ORCID,Isong Isong Abraham4,Ait M’barek Samir5,Ayito Esther O.4,Ambrose-Igho Gare6

Affiliation:

1. Faculty of Agrobiology, Food, and Natural Resources, Department of Soil Science and Soil Protection, Czech University of Life Sciences, Prague, Czech Republic

2. National Institute for Agricultural Research (INRA), Rabat, Morocco

3. Faculty of Sciences, Department of Geology, Chouaib Doukkali University, El Jadida, Morocco

4. Department of Soil Science, Faculty of Agriculture, Forestry and Wildlife Resources Management, University of Calabar, Calabar, Nigeria

5. Faculty of Sciences and Techniques Settat, Hassan First University, Settat, Morocco

6. Department of Geoscience, University of Nevada, Las Vegas, NV, USA

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

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