ISSN 2394-5125
 

Research Article 


IOT BASED HYDROPONIC PLANT IRRIGATION SYSTEM USING FUZZY LOGIC

CAMILLE FAMUDULAN VELADO, PATRICIO LORENZO BALCARSE, MARIBELLE DEQUILLA-PABIANIA.

Abstract
This paper focused on the development of an IoT-based hydroponic plant irrigation system using fuzzy logic and employing hardware modules to obtain temperature, humidity and water level readings, and a web application, that aimed to display the obtained temperature, humidity and water level readings from the sensor modules in the hydroponic system. DHT22 and HCSR04 ultrasonic sensor were used to measure the temperature and humidity of the environment and the water level inside the reservoir, respectively. The readings acquired from these sensors and using Fuzzy Logic algorithm were recorded and plotted every 10 minutes to the web server of ThingSpeak.com. SMS notifications were sent whenever the sensor produced an output to keep the user on track, particularly if there were critical values. The plants were irrigated according to the conditions set inside the prototype. To test its reliability, the difference of temperature and humidity readings were compared using a hygrometer and the plant irrigation device. Mean Average Percentage Errors (MAPE) of 2.25% for temperature, 0.45% for humidity and 1.85% for water level reading were determined; these were good, because they are considered low. Cross-browser testing was done on the web application to guarantee the behaviour of the system, reliability and device testing.

Key words: Internet of Things, hydroponics, Nutrient Film Technique, Fuzzy Logic, plant irrigation


 
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Pubmed Style

CAMILLE FAMUDULAN VELADO, PATRICIO LORENZO BALCARSE, MARIBELLE DEQUILLA-PABIANIA. IOT BASED HYDROPONIC PLANT IRRIGATION SYSTEM USING FUZZY LOGIC. JCR. 2020; 7(15): 332-334. doi:10.31838/jcr.07.15.44


Web Style

CAMILLE FAMUDULAN VELADO, PATRICIO LORENZO BALCARSE, MARIBELLE DEQUILLA-PABIANIA. IOT BASED HYDROPONIC PLANT IRRIGATION SYSTEM USING FUZZY LOGIC. http://www.jcreview.com/?mno=119756 [Access: June 29, 2020]. doi:10.31838/jcr.07.15.44


AMA (American Medical Association) Style

CAMILLE FAMUDULAN VELADO, PATRICIO LORENZO BALCARSE, MARIBELLE DEQUILLA-PABIANIA. IOT BASED HYDROPONIC PLANT IRRIGATION SYSTEM USING FUZZY LOGIC. JCR. 2020; 7(15): 332-334. doi:10.31838/jcr.07.15.44



Vancouver/ICMJE Style

CAMILLE FAMUDULAN VELADO, PATRICIO LORENZO BALCARSE, MARIBELLE DEQUILLA-PABIANIA. IOT BASED HYDROPONIC PLANT IRRIGATION SYSTEM USING FUZZY LOGIC. JCR. (2020), [cited June 29, 2020]; 7(15): 332-334. doi:10.31838/jcr.07.15.44



Harvard Style

CAMILLE FAMUDULAN VELADO, PATRICIO LORENZO BALCARSE, MARIBELLE DEQUILLA-PABIANIA (2020) IOT BASED HYDROPONIC PLANT IRRIGATION SYSTEM USING FUZZY LOGIC. JCR, 7 (15), 332-334. doi:10.31838/jcr.07.15.44



Turabian Style

CAMILLE FAMUDULAN VELADO, PATRICIO LORENZO BALCARSE, MARIBELLE DEQUILLA-PABIANIA. 2020. IOT BASED HYDROPONIC PLANT IRRIGATION SYSTEM USING FUZZY LOGIC. Journal of Critical Reviews, 7 (15), 332-334. doi:10.31838/jcr.07.15.44



Chicago Style

CAMILLE FAMUDULAN VELADO, PATRICIO LORENZO BALCARSE, MARIBELLE DEQUILLA-PABIANIA. "IOT BASED HYDROPONIC PLANT IRRIGATION SYSTEM USING FUZZY LOGIC." Journal of Critical Reviews 7 (2020), 332-334. doi:10.31838/jcr.07.15.44



MLA (The Modern Language Association) Style

CAMILLE FAMUDULAN VELADO, PATRICIO LORENZO BALCARSE, MARIBELLE DEQUILLA-PABIANIA. "IOT BASED HYDROPONIC PLANT IRRIGATION SYSTEM USING FUZZY LOGIC." Journal of Critical Reviews 7.15 (2020), 332-334. Print. doi:10.31838/jcr.07.15.44



APA (American Psychological Association) Style

CAMILLE FAMUDULAN VELADO, PATRICIO LORENZO BALCARSE, MARIBELLE DEQUILLA-PABIANIA (2020) IOT BASED HYDROPONIC PLANT IRRIGATION SYSTEM USING FUZZY LOGIC. Journal of Critical Reviews, 7 (15), 332-334. doi:10.31838/jcr.07.15.44





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