Abstract
The design and implementation of a fuzzy logic controller (FLC) are presented, offering a solution to improve the irrigation of rose crops. The objective is to reduce the water consumption and operative costs, taking advantage of intelligent controllers and environmental characteristics in a specific region. Considering that the main controllable variables that affect the growth of plants are relative humidity (RH) and temperature (T), in this study, these variables are used to create a system whose aim is to provide an adequate amount of water for a rose crop in the State of Mexico. The Mamdani method was used for the FLC design and the membership functions, while the area centroid was considered as the defuzzification strategy. After implementing the FLC proposal using a field-programmable gate array (FPGA) in a domestic greenhouse, integrated by an array of [5 × 3] rose plants under natural restrictions, a reduction of 0.2 L per week with respect to the traditional manual irrigation system was found. The proposed design highlights the technological advantages of using a fuzzy logic-controlled irrigation system over traditional methods.
Subject
Plant Science,Agronomy and Crop Science,Food Science
Reference21 articles.
1. Servicio de Información Agroalimentaria y Pesquera. Anuario Estadístico de la Producción Agrícolahttps://nube.siap.gob.mx/cierreagricola/
2. Uso de lógica difusa para la administración de un sistema disipador de energía en estructuras compuesto por amortiguadores magnetoreológicos;Lara Valencia;Fac. Ing. Univ. Antioquia,2015
3. Adapting weather conditions based IoT enabled smart irrigation technique in precision agriculture mechanisms
4. Alternative Structures for Knowledge Representation in Fuzzy Logic Controllers;Yager,1993
5. TB Disease Diagnosis Using Fuzzy Max-Min Composition Technique;Muthuvijayalakshmi;CiiT Int. J. Fuzzy Syst.,2014
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