PEACH: predicting frost events in peach orchards using IoT technology

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 a...

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Detalhes bibliográficos
Autores: Watteyne, Thomas, Diedrichs, Ana Laura, Brun-Laguna, Keoma, Chaar, Javier Emilio, Dujovne, Diego, Taffernaberry, Juan Carlos, Mercado, Gustavo
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2016
País:Argentina
Recursos:Instituto Nacional de Tecnología Agropecuaria
Repositorio:INTA Digital (INTA)
Idioma:inglés
OAI Identifier:oai:localhost:20.500.12123/5604
Acesso em linha: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
Access Level:acceso abierto
Palavra-chave:Durazno
Helada
Técnicas de Predicción
Agricultura de Precisión
Peaches
Frost
Forecasting
Precision Agriculture
SmartMesh IP
Smart Agriculture
IoT Technology
Descrição
Resumo: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.