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2016 | OriginalPaper | Chapter

Validation of Coffee Rust Warnings Based on Complex Event Processing

Authors : Julián Eduardo Plazas, Juan Sebastián Rojas, David Camilo Corrales, Juan Carlos Corrales

Published in: Computational Science and Its Applications -- ICCSA 2016

Publisher: Springer International Publishing

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Abstract

The rust is the main coffee crop disease in the world. In the Colombian and Brazilian plantations, the damage leads to a yield reduction of 30 % and 35 % respectively in regions where the meteorological conditions are propitious to the disease. Recently, researchers have focused on detecting the coffee rust disease starting from climate monitoring and parameters of crop control; however most of the monitoring systems lack the ability to process multiple source information and analyse it in order to identify abnormal situations and validate the generated warnings. In this paper, we propose a CEP engine and a prediction system integration for early warning systems applied to the coffee rust detection, capable of analysing multiple incoming events from the monitoring system and validating the warnings detection; evaluating an experimental prototype in a field test with satisfactory results.

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previous chapter Data Processing for a Water Quality Detection System on Colombian Rio Piedras Basin
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Metadata
Title
Validation of Coffee Rust Warnings Based on Complex Event Processing
Authors
Julián Eduardo Plazas
Juan Sebastián Rojas
David Camilo Corrales
Juan Carlos Corrales
Copyright Year
2016
Book
Computational Science and Its Applications -- ICCSA 2016

Print ISBN: 978-3-319-42088-2

Electronic ISBN: 978-3-319-42089-9

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-42089-9_48

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