A Demo of the PEACH IoT-based Frost Event Prediction System for Precision Agriculture

Keoma Brun-Laguna (1) , Ana Laura Diedrichs (2) , Javier Emilio Chaar (2) , Diego Dujovne (3) , Juan Carlos Taffernaberry (2) , Gustavo Mercado (2) , Thomas Watteyne (1)

1 EVA - Wireless Networking for Evolving & Adaptive Applications
2 UTN-FRC - Universidad Tecnologica Nacional [Cordoba]
3 UDP - Universidad Diego Portales [Santiago - Chili]

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.

Domaines: Réseaux et télécommunications [cs.NI]

Keoma Brun-Laguna, Ana Laura Diedrichs, Javier Emilio Chaar, Diego Dujovne, Juan Carlos Taffernaberry, et al.. A Demo of the PEACH IoT-based Frost Event Prediction System for Precision Agriculture. SECON 2016 - 13th Annual IEEE International Conference on Sensing, Communication and Networking , Jun 2016, London, United Kingdom. 2016, ⟨10.1109/SAHCN.2016.7732963⟩. ⟨hal-01311527⟩