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

被引:0
作者
Brun-Laguna, Keoma [1 ]
Laura Diedrichs, Ana [2 ,5 ]
Emilio Chaar, Javier [3 ]
Dujovne, Diego [4 ]
Carlos Taffernaberry, Juan [2 ]
Mercado, Gustavo [2 ]
Watteyne, Thomas [1 ]
机构
[1] Inria Paris, EVA Team, Paris, France
[2] UTN, Mendoza, Argentina
[3] INTA, Mendoza, Argentina
[4] Univ Diego Portales, Santiago, Chile
[5] Consejo Nacl Invest Cient & Tecn, Mendoza, Argentina
来源
2016 13TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON SENSING, COMMUNICATION, AND NETWORKING (SECON) | 2016年
关键词
Smart Agriculture; Precision Agriculture; IoT; SmartMesh IP;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:504 / 506
页数:3
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