FUZZY MODELING IN EVALUATING THE CONSISTENCY AND EFFICIENCY OF DATA REMOTELY MONITORED BY A MULTIPARAMETRIC PROBE

• Main Author: Passos,Mádilo L. V.
• Publication Date: 2022
• Other Authors: Sousa,Alan B. O. de, Teixeira,Adunias dos S.
• Format: Article
• Language: eng
• Source: Engenharia Agrícola
• Download full: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000800108
• topic: Arduino; Bluetooth; internet of things; artificial intelligence; Wi-Fi

ABSTRACT The analysis of water quality for irrigation assists in solving problems with irrigation equipment, such as obstruction in localized systems, being fundamental in precision irrigation. This study aimed to develop and evaluate an affordable multiparametric probe, as well as the performance in the remote data transmission by Bluetooth classic and Wi-Fi. The probe was based on the Arduino Nano platform. The sensors consisted of a pH (potential of hydrogen) sensor, a turbidity sensor (TSW30), and a total dissolved solids sensor. Bluetooth classic (HC-06 module) and ESP8266 module (ESP-01) were implemented for wireless transmission. A fuzzy inference system was used to evaluate the performance of sending data, using the variables bit error rate (BER) and percentage efficiency (Ef). The low-cost multiparametric probe allowed the measurement of pH, turbidity, and total dissolved solids. The Wi-Fi standard (IEEE 802.11 g/b/n), via ESP8266 version 01, presented the best results of consistency and efficiency of information transmission, according to fuzzy modeling.