Prediction of frost location using machine learning and wireless sensor networks

The damage caused by the frost takes place when the temperatures are below than a tolerable limit for the plants. Each phenological state, e.g owering, has a variable cold hardiness, so the lethal temperature is also variable. Freezing climatic events are the most dangerous, because they affect a la...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Diedrichs, Ana
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2014
Materias:
Ciencias Informáticas
Sensors
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/41848
http://43jaiio.sadio.org.ar/proceedings/IJCAI/19-20.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-41848
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Sensors
spellingShingle Ciencias Informáticas
Sensors
Diedrichs, Ana
Prediction of frost location using machine learning and wireless sensor networks
topic_facet Ciencias Informáticas
Sensors
description The damage caused by the frost takes place when the temperatures are below than a tolerable limit for the plants. Each phenological state, e.g owering, has a variable cold hardiness, so the lethal temperature is also variable. Freezing climatic events are the most dangerous, because they affect a large land surface. Mendoza is not an exception. According to the Instituto Nacional de Vitivinicultura (INV), in 2013 the loss of the vine crop reached up to 27%. Big part of that loss of yield was during the early spring. In order to study the micro-climate phenomenon of frost in Mendoza, sensors were distributed in the vine-yards vertically as well horizontally, because the air temperatures change vertically as horizontally, and the plant has also different cold hardiness in the organs like trunk, flowers, shoots. <i>(Párrafo extraído del texto a modo de resumen)</i>
format Objeto de conferencia
Objeto de conferencia
author Diedrichs, Ana
author_facet Diedrichs, Ana
author_sort Diedrichs, Ana
title Prediction of frost location using machine learning and wireless sensor networks
title_short Prediction of frost location using machine learning and wireless sensor networks
title_full Prediction of frost location using machine learning and wireless sensor networks
title_fullStr Prediction of frost location using machine learning and wireless sensor networks
title_full_unstemmed Prediction of frost location using machine learning and wireless sensor networks
title_sort prediction of frost location using machine learning and wireless sensor networks
publishDate 2014
url http://sedici.unlp.edu.ar/handle/10915/41848
http://43jaiio.sadio.org.ar/proceedings/IJCAI/19-20.pdf
work_keys_str_mv AT diedrichsana predictionoffrostlocationusingmachinelearningandwirelesssensornetworks
bdutipo_str Repositorios
_version_ 1764820472940199941

Ejemplares similares