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Ecological niche modeling approach for assessing potential for expansion of irrigated rice under alternate wetting and drying method

The approach was developed and validated for irrigated schemes of Burkina Faso. The evaluation metrics of the machine learning approach showed values higher than 80%. The schemes and seasons suitable for AWD were validated against ground truth data. The validated approach can be applied to the whole...

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Autor principal: CGIAR Research Program on Climate Change, Agriculture and Food Security
Formato: Informe técnico
Lenguaje:Inglés
Publicado: 2020
Materias:
rice
evaluation
development
rural development
data
learning
seasons
drying
systems
irrigated rice
agrifood systems
machine learning
Acceso en línea:https://hdl.handle.net/10568/123104
Sumario:The approach was developed and validated for irrigated schemes of Burkina Faso. The evaluation metrics of the machine learning approach showed values higher than 80%. The schemes and seasons suitable for AWD were validated against ground truth data. The validated approach can be applied to the whole West African region.

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