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
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:
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