IoT-based Smart Irrigation for Allium ascalonicum using Fuzzy Logic

Shallots are one of the main commodity spices in Indonesia. The high demand for shallots and frequent crop failures causes the price of shallots to soar high every year. One of the factors causing crop failure is that shallots are sensitive to water. Shallots are included in the tuber category so excess water causes them to rot easily, and lack of water causes the onions to shrink so they cannot be consumed. This research solves the problem of water availability by adjusting the water valve which is measured based on soil conditions with soil moisture and DHT11 sensors. The results of the sensor data are used to regulate water discharge in the irrigation of shallot agricultural land so that it can be monitored and measured according to standards (completely equipped). Sensor data is classified using Fuzzy logic to produce several classes wet (60% to 100%), moist (30% to 60%), and dry (0% to 30%). In contrast, DHT sensors are categorized as cold (0oC - 40oC), normal (30oC - 40oC), or hot (>40oC) based on their temperature ratings. The outcome is showcased on the website. Experimental result shows that farmers can monitor via the website and with more precision than human eye observation.