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.
Highlights
According to the Servicio de Información Agroalimentaria y Pesquera (SIAP) [1] of Mexico in its 2019 yearbook of statistical production, the country produced nearly nine million gross of roses, the State of Mexico, Puebla, and Morelos being the leading producing states, with approximately 7.0, 0.6, and 0.5 million gross produced, respectively
The understanding of the area allows the creation and adjustment of the knowledge base (KB) for an irrigation system that considers natural climatic conditions suitable for cultivation, which can be achieved by implementing intelligent controls
A fuzzy logic controller (FLC) is part of the intelligent control systems that are based in classic control and artificial intelligence
Summary
According to the Servicio de Información Agroalimentaria y Pesquera (SIAP) [1] of Mexico in its 2019 yearbook of statistical production, the country produced nearly nine million gross of roses, the State of Mexico, Puebla, and Morelos being the leading producing states, with approximately 7.0, 0.6, and 0.5 million gross produced, respectively. To design an FLC, it is necessary to integrate a database of scientific and technological knowledge with information that defines the parameters and variables to be controlled in a system. The creation of these inferences is known as fuzzification, and the set of logical sentences integrates the fuzzy rules set They are commonly represented through elements of a mathematical matrix, considering the relationships between inputs and their corresponding outputs so that there is an output for each input within the defined intervals [5]. One way to positively impact other sectors with this technology is by implementing it in the water supply for irrigation fields or hydroponic growing systems It benefits farmers who use water excessively, saving losses through filtration and evaporation [6]. The aim is to take advantage of the farmers’ experience with regional crops and the Mamdani approach properties, which permit the representation of expert and empirical knowledge through a description similar to human understanding [7]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
