PEACH: predicting frost events in peach orchards using IoT technology

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 a...

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Bibliographic Details
Authors: Watteyne, Thomas, Diedrichs, Ana Laura, Brun-Laguna, Keoma, Chaar, Javier Emilio, Dujovne, Diego, Taffernaberry, Juan Carlos, Mercado, Gustavo
Format: article
Status:Published version
Publication Date:2016
Country:Argentina
Institution:Instituto Nacional de Tecnología Agropecuaria
Repository:INTA Digital (INTA)
Language:English
OAI Identifier:oai:localhost:20.500.12123/5604
Online Access:http://hdl.handle.net/20.500.12123/5604
https://eudl.eu/doi/10.4108/eai.1-12-2016.151711
http://dx.doi.org/10.4108/eai.1-12-2016.151711
Access Level:Open access
Keyword:Durazno
Helada
Técnicas de Predicción
Agricultura de Precisión
Peaches
Frost
Forecasting
Precision Agriculture
SmartMesh IP
Smart Agriculture
IoT Technology
Description
Summary: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.