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[Aplicacion de redes neuronales artificiales para la deteccion de heladas en el centro de Chile utilizando el pronostico de temperatura minima del aire para el dia siguiente]

dc.contributor.authorFuentes, Marcel
dc.contributor.authorCampos, Cristobal
dc.contributor.authorGarcia L., Sebastian
dc.date.accessioned2020-12-29T01:48:37Z
dc.date.available2020-12-29T01:48:37Z
dc.date.issued2018
dc.date.issued(Jul-Sept 2018)
dc.date.issued2018
dc.identifier.urihttp://biblioteca.inia.cl/medios/biblioteca/agritec/NR41776.pdf
dc.identifier.urihttps://biblioteca.inia.cl/handle/123456789/31104
dc.descriptionSumarios (En, Es)
dc.descriptiontexto en ingles
dc.descriptionmap.
dc.descriptiongraf.
dc.description.abstractPredicting future climatic events is one of the key issues in many fields, whether in scientific or industrial areas. An artificial neural network (ANN) model, based on a backpropagation type, was developed in this study to predict the minimum air temperature of the following day from meteorological data using air temperature, relative humidity, radiation, precipitation, and wind direction and speed to detect the occurrence of radiative frost events. The configuration of the next day ANN prediction system allows operating with low-power computing machines; it is able to generate early warnings that can lead to the development of effective strategies to reduce crop damage, lower quality, and losses in agricultural production. This paper presents a procedural approach to an ANN, which was trained, validated, and tested in 10 meteorological stations in central Chile for approximately 8 yr (2010-2017).
dc.formatEL-36
dc.relation.ispartofChilean Journal of Agricultural Research
dc.title[Aplicacion de redes neuronales artificiales para la deteccion de heladas en el centro de Chile utilizando el pronostico de temperatura minima del aire para el dia siguiente]
dc.title.alternativeApplication of artificial neural networks to frost detection in central Chile using the next day minimum air temperature forecast
dc.typeAnaliticas
dc.numero.correlativo41776
dc.codigo.principalP40
dc.subject.spanishhelada
dc.subject.spanishprediccion
dc.subject.spanishmodelos
dc.indicador.literaturaResumen
dc.ubicacion.iniaEn las Bibliotecas del INIA
dc.nombre.pdfEL-36/NR41776.pdf
dc.codigo.temporalP40 U10
dc.paginas.temporal11 p.
dc.paginas.temporalv. 78(3) p. 327-338


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