Open AccessThe design and evaluation of an automatic watering system by using Fuzzy Mamdani
Author(s) -
Erfan Rohadi,
A Amalia,
A Nidianingsih,
Sofyan Arief,
Rudy Ariyanto,
Dimas Wahyu Wibowo
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1402/2/022088
Subject(s) - timer , agricultural engineering , automation , fuzzy logic , moisture , water content , soil moisture sensor , environmental science , fuzzy control system , mathematics , engineering , computer science , horticulture , microcontroller , geography , artificial intelligence , embedded system , biology , meteorology , mechanical engineering , geotechnical engineering
The fruits and vegetables are high demand commercial commodities recently. In this work, small spaces are addressed as modern vegetable cultivation in order to fulfill family member vegetables daily needs. The automatic watering system with a soil moisture sensor, a temperature sensor, and periodically watering based on Fuzzy Logic can provide water to vegetables according to their needs is proposed. In the practical, the Chinese Green Cabbage has been watered with the automatic system consists of raspberry pi, temperature sensor, soil moisture sensor, and timer. Both data of soil moisture sensor and temperature sensor are sent to Raspberry Pi that set an optimum condition of the Chinese Green Cabbage cultivation. The watering system is working when the conditions of the soil moisture less than 35% and the temperature of more than 29°C, respectively. However, the automatic watering by using the timer as 30 seconds of watering on 09.00 AM and 03.00 PM is needed. This system has succeeded in applying the Fuzzy Mamdani method to determine the length of watering on Chinese Green Cabbage. As a result, the automation system is promising for the cultivation of vegetable plants around the home living.