Monitoring and Implementation of Watering System on Farming Robot based on Fuzzy Logic Algorithm

At present, most watering is done manually. This has several disadvantages, such as requiring human labour to do watering, watering time, and difficulty monitoring soil moisture and air temperature needed by plants, especially broccoli plants. Based on this, we create an automatic watering plant model using fuzzy logic algorithms and a simple monitoring application. The purpose of this study is to provide convenience in carrying out an automatic watering system according to the needs of broccoli plants. This research uses a fuzzy logic algorithm because the broccoli plants that will be watered have unclear soil moisture conditions and air temperature. Arduino Mega2560 is used as its main component, which functions as a microcontroller that controls the sensor/actuator. The DHT11 sensor and the YL-69 sensor are used to detect soil temperature and humidity and the motor driver to control the water volume from the water pump. From the test results, the average% error of the DHT11 sensor with a thermometer is 1.89389%, and the average error of the YL-69 sensor with the calculation of soil moisture is 5.45%. In testing the duration of the watering, an average error testing the watering system based on calculations is 1.209%. The accuracy of the watering test is 98.791%, so the watering test is running well.