[Aplicación de redes neuronales artificiales para la detección de heladas en el Centro de Chile utilizando el pronóstico de temperatura mínima del aire para el día siguiente]
| dc.codigo.temporal | P40 U10 | |
| dc.contributor.author | Fuentes, Marcel | |
| dc.contributor.author | Campos M., Cristóbal | |
| dc.contributor.author | García L., Sebastián | |
| dc.date.accessioned | 2020-12-29T01:48:37Z | |
| dc.date.available | 2020-12-29T01:48:37Z | |
| dc.date.issued | Jul-Sept 2018 | |
| dc.description | texto en inglés | |
| dc.description.abstract | Predicting 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.format | EL-36 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14001/31104 | |
| dc.indicador.literatura | Resumen | |
| dc.nombre.pdf | EL-36/NR41776.pdf | |
| dc.numero.correlativo | 41776 | |
| dc.paginas.temporal | 11 p. | |
| dc.relation.ispartof | Chilean Journal of Agricultural Research | |
| dc.relation.ispartofno | v. 78 (3) p. 327-338 | |
| dc.subject.spanish | helada | |
| dc.subject.spanish | modelos | |
| dc.title | [Aplicación de redes neuronales artificiales para la detección de heladas en el Centro de Chile utilizando el pronóstico de temperatura mínima del aire para el día siguiente] | |
| dc.title.alternative | Application of artificial neural networks to frost detection in central Chile using the next day minimum air temperature forecast | |
| dc.type | Artículo | |
| dc.ubicacion.inia | En las Bibliotecas del INIA |
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