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dc.contributor.author
Watteyne, Thomas  
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Diedrichs, Ana Laura  
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Brun Laguna, Keoma  
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Chaar, Javier Emilio  
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Dujovne, Diego  
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Taffernaberry, Juan Carlos  
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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  
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Precision Agriculture  
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Deployment  
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SmartMesh IP  
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Ciencias de la Computación  
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Ciencias de la Computación e Información  
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CIENCIAS NATURALES Y EXACTAS  
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Telecomunicaciones  
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Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
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INGENIERÍAS Y TECNOLOGÍAS  
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Otras Ciencias Agrícolas  
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Otras Ciencias Agrícolas  
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CIENCIAS AGRÍCOLAS  
dc.title
PEACH: Predicting Frost Events in Peach Orchards Using IoT Technology  
dc.type
info:eu-repo/semantics/article  
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info:ar-repo/semantics/artículo  
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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  
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Bélgica  
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Ghent  
dc.description.fil
Fil: Watteyne, Thomas. Institut National de Recherche en Informatique et en Automatique; Francia  
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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  
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Fil: Brun Laguna, Keoma. Institut National de Recherche en Informatique et en Automatique; Francia  
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Fil: Chaar, Javier Emilio. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Mendoza-san Juan. Estación Experimental Agropecuaria Junin; Argentina  
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Fil: Dujovne, Diego. Universidad Diego Portales; Chile  
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Fil: Taffernaberry, Juan Carlos. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina  
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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