TITLE

PERFORMANCE EVALUATION OF IRRIGATION TECHNIQUES THROUGH THE IMPLEMENTATION OF A FUZZY LOGIC SYSTEM

AUTHOR(S)
Romero, C. Jonathan; Chavarro, Jorge I.; Garrido, Alan; Guzman, Helmer A.
PUB. DATE
July 2014
SOURCE
Journal of Engineering & Applied Sciences;Jul2014, Vol. 9 Issue 7, p1087
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
This paper presents a new methodology for evaluating the performance of irrigation systems, taking into account indicators of efficient use of water resources and tools for intelligent systems such as fuzzy logic. The objective was to propose a fuzzy logic system as a tool to evaluate the performance of irrigation systems, from a set of indicators of efficiency of water use. The system was validated for the cultivation of cocoa (Theobroma cacao) in the climatic conditions of the north part of Huila state, Colombia. Treatments (T) were: T1: drip irrigation, T2: surface irrigation, T3: control without irrigation. The experimental design was completely randomized block with three replicates per treatment. The Fuzzy Logic Toolbox of Matlab (MathWorks) was used to implement the fuzzy logic system. The output variable of the system was the performance of the irrigation system (%) and the input variables were index rate income from irrigated area cultivated ($ ha-1) and the Relative water supply. The results of the study show that cocoa cultivation and under the climatic conditions of the north of Huila, the technique of surface irrigation performance has a "High" (91.3%), on the contrary treatment without irrigation presents a performance "Low" (17%) and drip irrigation has a performance "Medium" (50%). This type of system as implemented in the agricultural sector and specifically in the evaluation of irrigation systems tools are innovative and can help decision making of professionals in such sector.
ACCESSION #
97273160

 

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