Open AccessIMPLEMENTATION OF FUZZY LOGIC CONTROLLERS TO MAINTAIN WATER TEMPERATURE IN HYDROPONICS NFT FOR LOLLO VERDE LETTUCE (LACTUCA SATIVA L.)
Author(s) -
Mohamad Nurkamal Fauzan,
Nyi Mekar Saptarini
Publication year - 2021
Publication title -
international journal of applied pharmaceutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.238
H-Index - 15
ISSN - 0975-7058
DOI - 10.22159/ijap.2021.v13s3.04
Subject(s) - lactuca , hydroponics , fuzzy logic , yield (engineering) , horticulture , mathematics , environmental science , biology , computer science , artificial intelligence , materials science , metallurgy
Objective: The purpose of this study was to maintain the nutritional water temperature in the range of 25-27 °C for Lollo Verde lettuce (Lactuca sativa L.).
Methods: The method was the Fuzzy Logic Mamdani (FLM) with two inputs, i.e. real time clock and temperature. The output was crisp speed PWM with the center of area method.
Results: The results showed that Fuzzy logic was succeeded in reducing water temperature in the NFT system from 28-32 °C to 26-27 °C, with an average delta of 3.5 °C. Fuzzy logic maintained the nutrient water temperature in the Lollo Verde lettuce with an average of 26.57±0.5 °C. Water temperature affected the yield of Lollo Verde lettuce.
Conclusion: The yield of NFT FLM system was better compared to the conventional NFT system.