Validation of Coffee Rust Warnings Based on Complex Event Processing (original) (raw)

Lecture Notes in Computer Science, 2016

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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