Preliminary design and soil moisture sensor yl-69 calibration for implementation of smart irrigation

Abstract

Smart irrigation as one of implementations of the Internet of Things (IoT) in agriculture aims to control and monitor water supply in accordance to crop needs. The control systems are designed using the Arduino Nano platform and the soil moisture sensor YL 69. The accuracy of the sensor is very influential on the performance of the control system, so that sensor calibration is done before it is applied to smart irrigation. The calibration method used in this research is the Gravimetric Water Content method. The media used in calibration is a mixture of soil and sand as Smart Irrigation as one of the implementations of the Internet of Things (IoT) in agriculture aims to control and monitor water supply in accordance to crop needs. The control system is designed using the Arduino Nano platform and the soil moisture sensor YL 69. The accuracy of the sensor is very influential on the performance of the control system, so that sensor calibration is done before it is applied to smart irrigation. The calibration method used in this research is the Gravimetric Water Content method. The media used in calibration is a mixture of soil and sand as much as 5% of the soil. Water weighed 4.71% from soil weight added to increase soil moisture level in calibration process. Based on the calibration results obtained from the sensor reading 201 shows 18.31% of soil moisture in dry soil. With nine times of water addition to soil obtained soil saturation point to water with sensor reading 633 which shows result 61.91% of soil moisture. The experimental results show the polynomial curve of order 3