Big data approaches to crop insurance in Asia
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20160025415 | ||
| 003 | MAP | ||
| 005 | 20220911211930.0 | ||
| 008 | 160818s2016 che|||| ||| ||eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a329 | ||
| 245 | 0 | 0 | $aBig data approaches to crop insurance in Asia |
| 260 | $aRüschlikon$bSwiss Re$c2016 | ||
| 520 | $aAdministering 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 | ||
| 650 | 4 | $0MAPA20080587857$aSeguro de cosechas | |
| 650 | 4 | $0MAPA20140022717$aBig data | |
| 650 | 4 | $0MAPA20080578848$aAnálisis de datos | |
| 650 | 4 | $0MAPA20080631925$aNuevas tecnologías de la información | |
| 651 | 1 | $0MAPA20080643744$aAsia | |
| 710 | 2 | $0MAPA20080436261$aSwiss Re |