IoT 16(5): e2

Research Article

PEACH: Predicting Frost Events in Peach Orchards Using IoT Technology

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  • @ARTICLE{10.4108/eai.1-12-2016.151711,
        author={Thomas Watteyne and Ana Laura Diedrichs and Keoma Brun-Laguna and Javier Emilio Chaar and Diego Dujovne and Juan Carlos Taffernaberry and Gustavo Mercado},
        title={PEACH: Predicting Frost Events in Peach Orchards Using IoT Technology},
        journal={EAI Endorsed Transactions on Internet of Things},
        volume={2},
        number={5},
        publisher={EAI},
        journal_a={IOT},
        year={2016},
        month={12},
        keywords={Smart Agriculture, Precision Agriculture, Deployment, SmartMesh IP.},
        doi={10.4108/eai.1-12-2016.151711}
    }
    
  • Thomas Watteyne
    Ana Laura Diedrichs
    Keoma Brun-Laguna
    Javier Emilio Chaar
    Diego Dujovne
    Juan Carlos Taffernaberry
    Gustavo Mercado
    Year: 2016
    PEACH: Predicting Frost Events in Peach Orchards Using IoT Technology
    IOT
    EAI
    DOI: 10.4108/eai.1-12-2016.151711
Thomas Watteyne1,*, Ana Laura Diedrichs2, Keoma Brun-Laguna1, Javier Emilio Chaar3, Diego Dujovne4, Juan Carlos Taffernaberry5, Gustavo Mercado5
  • 1: Inria, EVA team, Paris, France.
  • 2: Universidad Tecnológica Nacional (UTN), Mendoza, Argentina. CONICET, Mendoza, Argentina.
  • 3: Instituto Nacional de Tecnología Agropecuaria (INTA), Junín, Mendoza, Argentina.
  • 4: Universidad Diego Portales (UDP), Santiago, Chile.
  • 5: Universidad Tecnológica Nacional (UTN), Mendoza, Argentina.
*Contact email: thomas.watteyne@inria.fr

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.