PEACH: Predicting Frost Events in Peach Orchards Using IoT Technology

Journal Title: EAI Endorsed Transactions on Internet of Things - Year 2016, Vol 2, Issue 5

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.

Authors and Affiliations

Thomas Watteyne, Ana Laura Diedrichs, Keoma Brun-Laguna, Javier Emilio Chaar, Diego Dujovne, Juan Carlos Taffernaberry, Gustavo Mercado

Keywords

Related Articles

State-of-the-Art Congestion Control Protocols in WSN: A Survey

Wireless Sensor Networks (WSNs) inherently are resource-constrained in terms of available energy, bandwidth, processing power and memory space. In these networks, congestion occurs when the incoming traffic load surpasse...

Wireless Enabled Voice over Internet Protocol (VoIP) Network Application Using Asterisk PBX

This paper reechoes the need to use VOIP-based communication channels in order to reduce the heavy cost burden of communication in Sub Saharan Africa and other developing countries. We focus specifically on the context o...

On mean waiting time completeness and equivalence of EDD and HOL-PJ dynamic priority in 2-class M/G/1 queue

This paper identifies two different parametrized dynamic priority queue disciplines, earliest due date (EDD) based and head of line priority jump (HOL-PJ), which are found to be mean waiting time complete in two class M/...

Managing HeterogeneousWSNs in Smart Cities: Challenges and Requirements

The dramatic advances in wireless communications and electronics have enabled the development of Wireless Sensor Networks (WSNs). WSNs consist of many a ordable and portable sensor nodes for collecting data from the envi...

Studies in Small Scale Data: Three Case Studies on Describing Individuals’ Spatial Behaviour in Cities

Big Data has been effectively mined to understand behavioural patterns in cities and to map large-scale trends predicated upon the repeated actions of many aggregated individuals. While acknowledging the vital role that...

Download PDF file
  • EP ID EP46472
  • DOI http://dx.doi.org/10.4108/eai.1-12-2016.151711
  • Views 272
  • Downloads 0

How To Cite

Thomas Watteyne, Ana Laura Diedrichs, Keoma Brun-Laguna, Javier Emilio Chaar, Diego Dujovne, Juan Carlos Taffernaberry, Gustavo Mercado (2016). PEACH: Predicting Frost Events in Peach Orchards Using IoT Technology. EAI Endorsed Transactions on Internet of Things, 2(5), -. https://europub.co.uk/articles/-A-46472