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The Design and Evaluation of An Automatic Watering System by Using Fuzzy Mamdani
Erfan Rohadi, Amalia Amalia, Afifah Nidianingsih, Sofyan Noor Arief, Rudy Aryanto, Dimas Wahyu Wibowo

State Polytechnic of Malang.
Jl. Soekarno Hatta No. 9 Malang 65141


Abstract

The Fruits and vegetables are commercial commodities that are high in demand, recently. However, pest attacks are the main cause of crop failure. The common activity of farmers is that they spend their time just to filter vegetables that are still using manual systems. By using an automatic watering system with a soil moisture sensor and a temperature sensor based on Fuzzy Logic can provide water to vegetables according to their needs. In the practical, the Chinese Greens Cabbage have been watered with automatic systems. The results show that automatic watering systems have better production than manual watering systems. The soil moisture sensor output produces a low or high output. When heating the soil 80%, it shows moist soil conditions and when soil moisture is 40%, the soil conditions produce dry output. Based on the testing that has been done, it is obtained that the ideal temperature that allows vegetables to grow is 24 Celsius, soil moisture level of 27%, with a duration of 30 seconds watering. As a result, the automation systems promises for the cultivation of vegetable plants around the home living.

Keywords: Soil Moisture Sensor, Temperature Sensor, Fuzzy Logic, Fuzzy Mamdani

Topic: Information Engineering

Link: https://ifory.id/abstract/ZgLevnd8CXFm

Conference: The 4th Annual Applied Science and Engineering Conference (AASEC 2019)

Plain Format | Corresponding Author (Amalia Amalia)

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