Mostrar el registro sencillo del ítem
dc.contributor.author
Watteyne, Thomas
dc.contributor.author
Diedrichs, Ana Laura
dc.contributor.author
Brun Laguna, Keoma
dc.contributor.author
Chaar, Javier Emilio
dc.contributor.author
Dujovne, Diego
dc.contributor.author
Taffernaberry, Juan Carlos
dc.contributor.author
Mercado, Gustavo Ariel
dc.date.available
2020-03-25T18:51:52Z
dc.date.issued
2016-12
dc.identifier.citation
Watteyne, Thomas; Diedrichs, Ana Laura; Brun Laguna, Keoma; Chaar, Javier Emilio; Dujovne, Diego; et al.; PEACH: Predicting Frost Events in Peach Orchards Using IoT Technology; EAI Endorsed Transactions; EAI Endorsed Transactions on Internet of Things; 2; 5; 12-2016; 1-12
dc.identifier.issn
2414-1399
dc.identifier.uri
http://hdl.handle.net/11336/100758
dc.description.abstract
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 o-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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
EAI Endorsed Transactions
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
Smart Agriculture
dc.subject
Precision Agriculture
dc.subject
Deployment
dc.subject
SmartMesh IP
dc.subject.classification
Ciencias de la Computación
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.subject.classification
Telecomunicaciones
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.subject.classification
Otras Ciencias Agrícolas
dc.subject.classification
Otras Ciencias Agrícolas
dc.subject.classification
CIENCIAS AGRÍCOLAS
dc.title
PEACH: Predicting Frost Events in Peach Orchards Using IoT Technology
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-03-20T13:17:34Z
dc.journal.volume
2
dc.journal.number
5
dc.journal.pagination
1-12
dc.journal.pais
Bélgica
dc.journal.ciudad
Ghent
dc.description.fil
Fil: Watteyne, Thomas. Institut National de Recherche en Informatique et en Automatique; Francia
dc.description.fil
Fil: Diedrichs, Ana Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina
dc.description.fil
Fil: Brun Laguna, Keoma. Institut National de Recherche en Informatique et en Automatique; Francia
dc.description.fil
Fil: Chaar, Javier Emilio. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Mendoza-san Juan. Estación Experimental Agropecuaria Junin; Argentina
dc.description.fil
Fil: Dujovne, Diego. Universidad Diego Portales; Chile
dc.description.fil
Fil: Taffernaberry, Juan Carlos. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina
dc.description.fil
Fil: Mercado, Gustavo Ariel. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina
dc.journal.title
EAI Endorsed Transactions on Internet of Things
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://eudl.eu/doi/10.4108/eai.1-12-2016.151711
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.4108/eai.1-12-2016.151711
Archivos asociados