A Demo of the PEACH IoT-based Frost Event Prediction System for Precision Agriculture
Autor: | Javier Emilio Chaar, Gustavo Mercado, Keoma Brun-Laguna, Thomas Watteyne, Juan Carlos Taffernaberry, Diego Dujovne, Ana Diedrichs |
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Přispěvatelé: | Wireless Networking for Evolving & Adaptive Applications (EVA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Universidad Tecnologica Nacional [Cordoba] (UTN-FRC), Universidad Diego Portales [Santiago] (UDP) |
Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
2. Zero hunger
Wireless mesh network business.industry Wireless network Event (computing) Computer science 05 social sciences Latency (audio) 050801 communication & media studies 020206 networking & telecommunications 02 engineering and technology Key distribution in wireless sensor networks [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] 0508 media and communications Software deployment Frost 0202 electrical engineering electronic engineering information engineering Precision agriculture business Computer network |
Zdroj: | SECON 2016-13th Annual IEEE International Conference on Sensing, Communication and Networking SECON 2016-13th Annual IEEE International Conference on Sensing, Communication and Networking, Jun 2016, London, United Kingdom. 2016, ⟨10.1109/SAHCN.2016.7732963⟩ SECON |
DOI: | 10.1109/SAHCN.2016.7732963⟩ |
Popis: | International audience; 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 demo provides an overview of the 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, built around SmartMesh IP, is 100% reliable, with end-to-end latency below 2 s, and over 3 years of battery lifetime. |
Databáze: | OpenAIRE |
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