Irrigation system is widely used in agriculture sector and has significant impacts to the growth of the plantation or crops. Traditional method of irrigation system always counter problems such as time consuming, human labour cost, inefficient of water usage and monitoring challenging throughout the process. Thus to address the issues, this paper proposed the development of smart irrigation system that embedded various types of sensor and Internet of Things (IoT) platform used for monitoring plant growth. In this work, there are three module have been developed which are hardware, software and integration module of the proposed system. In hardware module, Raspberry Pi is used to calculate and process the data based on the sensors parameters. Different types of sensors have been employed such as soil moisture, humidity, temperature, ultrasonic and vision sensors. In this framework, the reading of soil moisture sensor was obtained from the base station. The Raspberry Pi will receive the information and starts to pump the water from the tank until the condition of soil moisture content is normal (i.e. reach the threshold value). In addition, the DHT22 sensor will act as the monitoring system in terms of temperature and humidity data. While, the ultrasonic sensor will send the information to the microprocessor and calculate the water level. Furthermore, the webcam vision is used for monitoring the plant growth during the day and night. While, the dripping process runs in real-time application to the plant. The microcontroller ESP8266 used to control the state of ON or OFF light bulb depending on the value of LDR sensor. Based on the results and monitoring process, the proposed smart irrigation system able to works in promising environment with real time data in which it has been monitored through the IoT platform.
