Artículo
PEACH: Predicting Frost Events in Peach Orchards Using IoT Technology
Watteyne, Thomas; Diedrichs, Ana Laura
; Brun Laguna, Keoma; Chaar, Javier Emilio; Dujovne, Diego; Taffernaberry, Juan Carlos; Mercado, Gustavo Ariel
Fecha de publicación:
12/2016
Editorial:
EAI Endorsed Transactions
Revista:
EAI Endorsed Transactions on Internet of Things
ISSN:
2414-1399
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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.
Palabras clave:
Smart Agriculture
,
Precision Agriculture
,
Deployment
,
SmartMesh IP
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(CCT - MENDOZA)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - MENDOZA
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - MENDOZA
Citación
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
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