@article {224,
	title = {Peach: Predicting frost events in peach orchards using iot technology},
	journal = {EAI Endorsed Transactions on the Internet of Things},
	year = {2016},
	abstract = {<p><span style="font-family: Helvetica, Arial, sans-serif; font-size: 14px; background-color: rgb(251, 251, 248);">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.</span></p>
},
	doi = {http://dx.doi.org/10.4108/eai.1-12-2016.151711},
	author = {Watteyne, Thomas and Diedrichs, Ana Laura and Brun-Laguna, Keoma and Chaar, Javier Emilio and Dujovne, Diego and Taffernaberry, Juan Carlos and Mercado, Gustavo}
}
