Big data approaches to crop insurance in Asia

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<rdf:Description>
<dc:creator>Swiss Re</dc:creator>
<dc:date>2016</dc:date>
<dc:description xml:lang="es">Sumario: Administering crop insurance in Asian countries with small fragmented agriculture land holdings is an expensive affair, but costs can be substantially lowered with the introduction of index-based or parametric insurance schemes. These are managed, however, through relatively generic data measurements that do not always capture the experiences of individual farmers</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/157363.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:publisher>Swiss Re</dc:publisher>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Seguro de cosechas</dc:subject>
<dc:subject xml:lang="es">Big data</dc:subject>
<dc:subject xml:lang="es">Análisis de datos</dc:subject>
<dc:subject xml:lang="es">Nuevas tecnologías de la información</dc:subject>
<dc:subject xml:lang="es">Asia</dc:subject>
<dc:type xml:lang="es">Libros</dc:type>
<dc:title xml:lang="es">Big data approaches to crop insurance in Asia</dc:title>
<dc:coverage xml:lang="es">Asia</dc:coverage>
</rdf:Description>
</rdf:RDF>