PEACH: predicting frost events in peach orchards using IoT technology

Autores
Watteyne, Thomas; Diedrichs, Ana Laura; Brun-Laguna, Keoma; Chaar, Javier Emilio; Dujovne, Diego; Taffernaberry, Juan Carlos; Mercado, Gustavo
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In 2013, 85% of the peach production in the Mendoza region (Argentina) was lost because of frost. In a couple of hours, farmers can lose everything. Handling a frost event is possible, but it is hard to predict when it is going to happen. The goal of the PEACH project is to predict frost events by analyzing measurements from sensors deployed around an orchard. This article provides an in-depth description of a complete solution we designed and deployed: the low-power wireless network and the back-end system. The low-power wireless network is composed entirely of commercial off-the-shelf devices. We develop a methodology for deploying the network and present the open-source tools to assist with the deployment and to monitor the network. The deployed low-power wireless mesh network is 100% reliable, with end-to-end latency below 2 s, and over 3 years of battery lifetime. This article discusses how the technology used is the right one for precision agriculture applications.
EEA Junín
Fil: Watteyne, Thomas. Institut National de Recherche en Informatique et en Automatique (INRIA). EVA Team; Francia
Fil: Diedrichs, Ana Laura. Universidad Tecnológica Nacional (UTN), Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Brun-Laguna, Keoma. Institut National de Recherche en Informatique et en Automatique (INRIA). EVA Team; Francia
Fil: Chaar, Javier Emilio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Junín; Argentina
Fil: Dujovne, Diego. Universidad Diego Portales (UDP), Santiago; Chile
Fil: Taffernaberry, Juan Carlos. Universidad Tecnológica Nacional (UTN), Mendoza; Argentina
Fil: Mercado, Gustavo. Universidad Tecnológica Nacional (UTN), Mendoza; Argentina
Fuente
EAI endorsed transactions on Internet of things 2 (5) : e2 (2016)
Materia
Durazno
Helada
Técnicas de Predicción
Agricultura de Precisión
Peaches
Frost
Forecasting
Precision Agriculture
SmartMesh IP
Smart Agriculture
IoT Technology
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/5604
Acceder
id INTADig_85a9bce1f19fb38d45a37c30eabcb6a7
oai_identifier_str oai:localhost:20.500.12123/5604
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling PEACH: predicting frost events in peach orchards using IoT technologyWatteyne, ThomasDiedrichs, Ana LauraBrun-Laguna, KeomaChaar, Javier EmilioDujovne, DiegoTaffernaberry, Juan CarlosMercado, GustavoDuraznoHeladaTécnicas de PredicciónAgricultura de PrecisiónPeachesFrostForecastingPrecision AgricultureSmartMesh IPSmart AgricultureIoT TechnologyIn 2013, 85% of the peach production in the Mendoza region (Argentina) was lost because of frost. In a couple of hours, farmers can lose everything. Handling a frost event is possible, but it is hard to predict when it is going to happen. The goal of the PEACH project is to predict frost events by analyzing measurements from sensors deployed around an orchard. This article provides an in-depth description of a complete solution we designed and deployed: the low-power wireless network and the back-end system. The low-power wireless network is composed entirely of commercial off-the-shelf devices. We develop a methodology for deploying the network and present the open-source tools to assist with the deployment and to monitor the network. The deployed low-power wireless mesh network is 100% reliable, with end-to-end latency below 2 s, and over 3 years of battery lifetime. This article discusses how the technology used is the right one for precision agriculture applications.EEA JunínFil: Watteyne, Thomas. Institut National de Recherche en Informatique et en Automatique (INRIA). EVA Team; FranciaFil: Diedrichs, Ana Laura. Universidad Tecnológica Nacional (UTN), Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Brun-Laguna, Keoma. Institut National de Recherche en Informatique et en Automatique (INRIA). EVA Team; FranciaFil: Chaar, Javier Emilio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Junín; ArgentinaFil: Dujovne, Diego. Universidad Diego Portales (UDP), Santiago; ChileFil: Taffernaberry, Juan Carlos. Universidad Tecnológica Nacional (UTN), Mendoza; ArgentinaFil: Mercado, Gustavo. Universidad Tecnológica Nacional (UTN), Mendoza; ArgentinaEAI2019-08-09T12:28:59Z2019-08-09T12:28:59Z2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/5604https://eudl.eu/doi/10.4108/eai.1-12-2016.1517112414-1399http://dx.doi.org/10.4108/eai.1-12-2016.151711EAI endorsed transactions on Internet of things 2 (5) : e2 (2016)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-29T13:44:43Zoai:localhost:20.500.12123/5604instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:44.241INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv PEACH: predicting frost events in peach orchards using IoT technology
title PEACH: predicting frost events in peach orchards using IoT technology
spellingShingle PEACH: predicting frost events in peach orchards using IoT technology
Watteyne, Thomas
Durazno
Helada
Técnicas de Predicción
Agricultura de Precisión
Peaches
Frost
Forecasting
Precision Agriculture
SmartMesh IP
Smart Agriculture
IoT Technology
title_short PEACH: predicting frost events in peach orchards using IoT technology
title_full PEACH: predicting frost events in peach orchards using IoT technology
title_fullStr PEACH: predicting frost events in peach orchards using IoT technology
title_full_unstemmed PEACH: predicting frost events in peach orchards using IoT technology
title_sort PEACH: predicting frost events in peach orchards using IoT technology
dc.creator.none.fl_str_mv Watteyne, Thomas
Diedrichs, Ana Laura
Brun-Laguna, Keoma
Chaar, Javier Emilio
Dujovne, Diego
Taffernaberry, Juan Carlos
Mercado, Gustavo
author Watteyne, Thomas
author_facet Watteyne, Thomas
Diedrichs, Ana Laura
Brun-Laguna, Keoma
Chaar, Javier Emilio
Dujovne, Diego
Taffernaberry, Juan Carlos
Mercado, Gustavo
author_role author
author2 Diedrichs, Ana Laura
Brun-Laguna, Keoma
Chaar, Javier Emilio
Dujovne, Diego
Taffernaberry, Juan Carlos
Mercado, Gustavo
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Durazno
Helada
Técnicas de Predicción
Agricultura de Precisión
Peaches
Frost
Forecasting
Precision Agriculture
SmartMesh IP
Smart Agriculture
IoT Technology
topic Durazno
Helada
Técnicas de Predicción
Agricultura de Precisión
Peaches
Frost
Forecasting
Precision Agriculture
SmartMesh IP
Smart Agriculture
IoT Technology
dc.description.none.fl_txt_mv In 2013, 85% of the peach production in the Mendoza region (Argentina) was lost because of frost. In a couple of hours, farmers can lose everything. Handling a frost event is possible, but it is hard to predict when it is going to happen. The goal of the PEACH project is to predict frost events by analyzing measurements from sensors deployed around an orchard. This article provides an in-depth description of a complete solution we designed and deployed: the low-power wireless network and the back-end system. The low-power wireless network is composed entirely of commercial off-the-shelf devices. We develop a methodology for deploying the network and present the open-source tools to assist with the deployment and to monitor the network. The deployed low-power wireless mesh network is 100% reliable, with end-to-end latency below 2 s, and over 3 years of battery lifetime. This article discusses how the technology used is the right one for precision agriculture applications.
EEA Junín
Fil: Watteyne, Thomas. Institut National de Recherche en Informatique et en Automatique (INRIA). EVA Team; Francia
Fil: Diedrichs, Ana Laura. Universidad Tecnológica Nacional (UTN), Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Brun-Laguna, Keoma. Institut National de Recherche en Informatique et en Automatique (INRIA). EVA Team; Francia
Fil: Chaar, Javier Emilio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Junín; Argentina
Fil: Dujovne, Diego. Universidad Diego Portales (UDP), Santiago; Chile
Fil: Taffernaberry, Juan Carlos. Universidad Tecnológica Nacional (UTN), Mendoza; Argentina
Fil: Mercado, Gustavo. Universidad Tecnológica Nacional (UTN), Mendoza; Argentina
description In 2013, 85% of the peach production in the Mendoza region (Argentina) was lost because of frost. In a couple of hours, farmers can lose everything. Handling a frost event is possible, but it is hard to predict when it is going to happen. The goal of the PEACH project is to predict frost events by analyzing measurements from sensors deployed around an orchard. This article provides an in-depth description of a complete solution we designed and deployed: the low-power wireless network and the back-end system. The low-power wireless network is composed entirely of commercial off-the-shelf devices. We develop a methodology for deploying the network and present the open-source tools to assist with the deployment and to monitor the network. The deployed low-power wireless mesh network is 100% reliable, with end-to-end latency below 2 s, and over 3 years of battery lifetime. This article discusses how the technology used is the right one for precision agriculture applications.
publishDate 2016
dc.date.none.fl_str_mv 2016
2019-08-09T12:28:59Z
2019-08-09T12:28:59Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/5604
https://eudl.eu/doi/10.4108/eai.1-12-2016.151711
2414-1399
http://dx.doi.org/10.4108/eai.1-12-2016.151711
url http://hdl.handle.net/20.500.12123/5604
https://eudl.eu/doi/10.4108/eai.1-12-2016.151711
http://dx.doi.org/10.4108/eai.1-12-2016.151711
identifier_str_mv 2414-1399
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv EAI
publisher.none.fl_str_mv EAI
dc.source.none.fl_str_mv EAI endorsed transactions on Internet of things 2 (5) : e2 (2016)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
_version_ 1844619136075825152
score 12.559606

Publicaciones similares