Automated Fertilizer Spraying System for Purple Eggplant Plants Based on IoT at STMIK KAPUTAMA

The purple eggplant plant (Solanum melongena L) is a high-value vegetable crop that requires proper fertilization to support optimal growth. However, the manual fertilization methods currently in use are often inefficient and inaccurate, leading to fertilizer waste and suboptimal harvest yields. This study developed an automatic fertilizer spraying system based on the Internet of Things (IoT) using a NodeMCU ESP8266 microcontroller and soil moisture sensors to monitor soil conditions in real-time. The system is equipped with an RTC module and the Blynk app to automatically adjust fertilizer application based on soil moisture levels between 50% and 60%. Test results demonstrate that the system can efficiently activate the pump when moisture drops below the minimum threshold and deactivate it when moisture reaches the maximum threshold. Implementing this system improves fertilizer efficiency compared to manual methods and facilitates remote control, thereby supporting increased productivity and the development of purple eggplant farming.