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dc.date.accessioned 2019-02-06T14:18:27Z
dc.date.available 2019-02-06T14:18:27Z
dc.date.issued 2018
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/72102
dc.description.abstract We present the package frost which aim is to survey prediction techniques of minimum temperature for agronomic frost prediction in viticulture and agriculture. The version 0.0.1 of the package frost introduces two empiric methods used by agronomic engineers and farmers: the 4rst one is recommended by FAO (Food and Agriculture Organization of the United Nations) [2], and the second one is used in Mendoza, Argentina. This package can be downloaded from its GitHub repository under the MIT open source license. en
dc.format.extent 18-19 es
dc.language en es
dc.subject predictive modeling en
dc.subject dew point estimation en
dc.subject frost events en
dc.subject viticulture en
dc.subject agriculture en
dc.title frost: an R package - prediction of minimum temperature for frost forecasting in agriculture en
dc.type Objeto de conferencia es
sedici.identifier.uri http://47jaiio.sadio.org.ar/sites/default/files/LatinR_11.pdf es
sedici.identifier.issn 2618-3196 es
sedici.creator.person Diedrichs, Ana es
sedici.creator.person Bromberg, Facundo es
sedici.creator.person Dujovne, Diego es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-sa/3.0/
sedici.date.exposure 2018-09
sedici.relation.event Conferencia Latinoamericana sobre Uso de R en Investigación + Desarrollo (LatinR 2018) - JAIIO 47 (CABA, 2018) es
sedici.description.peerReview peer-review es
sedici.description.resumen true es


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