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...
| Autores principales: | , , , , , , |
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| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
| Publicado: |
EAI
2019
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| Materias: | |
| Acceso en línea: | 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 |
| _version_ | 1855035527360675840 |
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| author | Watteyne, Thomas Diedrichs, Ana Laura Brun-Laguna, Keoma Chaar, Javier Emilio Dujovne, Diego Taffernaberry, Juan Carlos Mercado, Gustavo |
| author_browse | Brun-Laguna, Keoma Chaar, Javier Emilio Diedrichs, Ana Laura Dujovne, Diego Mercado, Gustavo Taffernaberry, Juan Carlos Watteyne, Thomas |
| author_facet | Watteyne, Thomas Diedrichs, Ana Laura Brun-Laguna, Keoma Chaar, Javier Emilio Dujovne, Diego Taffernaberry, Juan Carlos Mercado, Gustavo |
| author_sort | Watteyne, Thomas |
| collection | INTA Digital |
| description | 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. |
| format | info:ar-repo/semantics/artículo |
| id | INTA5604 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | EAI |
| publisherStr | EAI |
| record_format | dspace |
| spelling | INTA56042019-08-09T12:40:42Z 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 Durazno Helada Técnicas de Predicción Agricultura de Precisión Peaches Frost Forecasting Precision Agriculture SmartMesh IP Smart Agriculture 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 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. EEA Junín Fil: Watteyne, Thomas. Institut National de Recherche en Informatique et en Automatique (INRIA). EVA Team; Francia Fil: Diedrichs, Ana Laura. Universidad Tecnológica Nacional (UTN), Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Brun-Laguna, Keoma. Institut National de Recherche en Informatique et en Automatique (INRIA). EVA Team; Francia Fil: Chaar, Javier Emilio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Junín; Argentina Fil: Dujovne, Diego. Universidad Diego Portales (UDP), Santiago; Chile Fil: Taffernaberry, Juan Carlos. Universidad Tecnológica Nacional (UTN), Mendoza; Argentina Fil: Mercado, Gustavo. Universidad Tecnológica Nacional (UTN), Mendoza; Argentina 2019-08-09T12:28:59Z 2019-08-09T12:28:59Z 2016 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/5604 https://eudl.eu/doi/10.4108/eai.1-12-2016.151711 2414-1399 http://dx.doi.org/10.4108/eai.1-12-2016.151711 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf EAI EAI endorsed transactions on Internet of things 2 (5) : e2 (2016) |
| spellingShingle | Durazno Helada Técnicas de Predicción Agricultura de Precisión Peaches Frost Forecasting Precision Agriculture SmartMesh IP Smart Agriculture IoT Technology Watteyne, Thomas Diedrichs, Ana Laura Brun-Laguna, Keoma Chaar, Javier Emilio Dujovne, Diego Taffernaberry, Juan Carlos Mercado, Gustavo PEACH: predicting frost events in peach orchards using IoT technology |
| title | PEACH: predicting frost events in peach orchards using IoT technology |
| title_full | PEACH: predicting frost events in peach orchards using IoT technology |
| title_fullStr | PEACH: predicting frost events in peach orchards using IoT technology |
| title_full_unstemmed | PEACH: predicting frost events in peach orchards using IoT technology |
| title_short | PEACH: predicting frost events in peach orchards using IoT technology |
| title_sort | peach predicting frost events in peach orchards using iot technology |
| topic | Durazno Helada Técnicas de Predicción Agricultura de Precisión Peaches Frost Forecasting Precision Agriculture SmartMesh IP Smart Agriculture IoT Technology |
| url | 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 |
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