Research Article
PEACH: Predicting Frost Events in Peach Orchards Using IoT Technology
@ARTICLE{10.4108/eai.1-12-2016.151711, author={Thomas Watteyne and Ana Laura Diedrichs and Keoma Brun-Laguna and Javier Emilio Chaar and Diego Dujovne and Juan Carlos Taffernaberry and Gustavo Mercado}, title={PEACH: Predicting Frost Events in Peach Orchards Using IoT Technology}, journal={EAI Endorsed Transactions on Internet of Things}, volume={2}, number={5}, publisher={EAI}, journal_a={IOT}, year={2016}, month={12}, keywords={Smart Agriculture, Precision Agriculture, Deployment, SmartMesh IP.}, doi={10.4108/eai.1-12-2016.151711} }- Thomas Watteyne
Ana Laura Diedrichs
Keoma Brun-Laguna
Javier Emilio Chaar
Diego Dujovne
Juan Carlos Taffernaberry
Gustavo Mercado
Year: 2016
PEACH: Predicting Frost Events in Peach Orchards Using IoT Technology
IOT
EAI
DOI: 10.4108/eai.1-12-2016.151711
Abstract
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 o -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.
Copyright © 2016 Thomas Watteyne et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.