Fuzzy Logic for Automatic Watering System of Smart Agriculture with IoT

Abstract

Indonesia is an agrarian country that has abundant wealth of resources. Development of technology in the field of agriculture commonly called smart agriculture and based on the Internet of Things (IoT) is also rapidly expanding. The irrigation system in Indonesia is still made traditionally so it is susceptible to damage due to natural disasters or old irrigation systems. During the dry season, farmers desperately need a source of water, when farmers use diesel engines to pump water consequently it takes a greater cost and the volume of water that is blurred sometimes does not fit the needs of plants. This research aims to optimize the natural resources, especially the use of water and facilitate farmers to monitor agricultural land. This study used two sensors, namely temperature and humidity (DHT22 Module) and soil humidity (FC-28 Module). Sensors retrieving the data environment condition are then received and processed on the Raspberry Pi then stored on the cloud database. When the soil moisture condition does not match the target soil moisture value is already determined then the system will send a notification to the user via smartphone. The user can manually perform the watering action. When automatic mode is turned on, the water volume comes out based on the fuzzy logic calculation result as decision making. The results of this study were conducted at different times of morning and daytime which from the study difference time did not affect the output of water volume. During the daytime although soil moisture is more humid then the volume of water will remain according to the calculation based on the parameters of air temperature and soil moisture. Farmers can monitor and view crop conditions where the data results are visualized on web and mobile platforms.