Relief parameters and fuzzy logic for land evaluations of mango crops mangifera indica l. in colombia Report as inadecuate




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Luis Joel Martínez M. ;Agronomía Colombiana 2014, 32 2

Author: Oscar Javier Munar-Vivas

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Agronomía Colombiana ISSN: 0120-9965 agrocolfabog@gmail.com Universidad Nacional de Colombia Colombia Munar-Vivas, Oscar Javier; Martínez M., Luis Joel Relief parameters and fuzzy logic for land evaluations of mango crops ( Mangifera indica L.) in Colombia Agronomía Colombiana, vol.
32, núm.
2, 2014, pp.
246-254 Universidad Nacional de Colombia Bogotá, Colombia Available in: http:--www.redalyc.org-articulo.oa?id=180332010012 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative SOILS, FERTILIZATION AND MANAGEMENT OF WATER Relief parameters and fuzzy logic for land evaluations of mango crops (Mangifera indica L.) in Colombia Parámetros del relieve y lógica difusa para la evaluación de tierras para los cultivos de mango (Mangifera indica L.) en Colombia Oscar Javier Munar-Vivas1 and Luis Joel Martínez M.2 ABSTRACT RESUMEN The aim of this paper is to illustrate the use of digital elevation models (DEM) to calculate relief parameters and include them in suitability studies of land for mango crops in Colombia.
Data from SRTM (Shuttle Radar Topography Mission) DEMs with 30 meter of spatial resolution and elevation in meters were used to calculate the slope, aspect, curvature, solar radiation, and topographic wetness index for inclusion in a land evaluation study.
Fuzzy logic rules were developed and applied to define the degree of suitability by matching land use requirements with land characteristics.
When integrated with geographic information systems, DEMs have significant potential for quantitatively defining and characterizing relief and for generating more detailed data to improve land evaluation processes.
The Fuzzy logic proved to be a more realistic approach for evaluating the degree of land suitability than traditiona...





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