Millet Suitability Dataset for the North and Far North Regions of Cameroon
Domaine:
agriculturegeospatialType de record:
dataset
Créateur:
TouGui
Éditeur:
Hôte:
This dataset provides 1,545 georeferenced observations for millet suitability analysis in the North and Far North Regions of Cameroon.
The dataset covers ten administrative divisions at the GADM ADM2 level, including Logone-et-Chari, Mayo-Sava, Diamaré, Mayo-Tsanaga, Mayo-Kani, Mayo-Danay, Mayo-Louti, Bénoué, Mayo-Rey, and Faro.
Each observation includes geographic coordinates, administrative identifiers, soil characteristics, climatic variables, crop-management information, millet variety, yield-related information, and millet suitability indicators.
Geographic coordinates are expressed in WGS 84 (EPSG:4326) and are spatially associated with the corresponding administrative divisions.
The dataset is intended to support research and methodological applications in agricultural spatial analysis, millet suitability assessment, machine learning, geospatial modelling, and climate-resilient agriculture.
The accompanying data dictionary provides definitions, data types, and examples for all variables.
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