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 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 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.EEA JunínFil: Watteyne, Thomas. Institut National de Recherche en Informatique et en Automatique (INRIA). EVA Team; FranciaFil: Diedrichs, Ana Laura. Universidad Tecnológica Nacional (UTN), Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Brun-Laguna, Keoma. Institut National de Recherche en Informatique et en Automatique (INRIA). EVA Team; FranciaFil: Chaar, Javier Emilio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Junín; ArgentinaFil: Dujovne, Diego. Universidad Diego Portales (UDP), Santiago; ChileFil: Taffernaberry, Juan Carlos. Universidad Tecnológica Nacional (UTN), Mendoza; ArgentinaFil: Mercado, Gustavo. Universidad Tecnológica Nacional (UTN), Mendoza; Argentin