<![CDATA[Soil fertility management in cucumber (Cucumis sativus L.) cultivation often relies on visual observation, leading to inaccurate fertilization decisions. This study aims to design and implement an Internet of Things (IoT)-based soil nutrient monitoring system using the ESP32 microcontroller, RS485-TTL converter, 7-in-1 NPK sensor, and Blynk cloud dashboard. Utilizing the Prototyping development method, the system was tested at the Santri Tani Nurul Fallah Farmer Group. The testing results demonstrate that the system effectively acquires real-time soil data, including moisture (22.10% to 91.80%), pH (5.30 to 6.20), Electrical Conductivity (95 to 279 µS/cm), and NPK levels. Increased soil moisture directly improved sensor readability by facilitating nutrient ion dissolution. The collected data guides precise agricultural interventions: prioritizing pH neutralization before fertilizer application, and determining application methods—fertigation (kocor) for dry conditions (<30% moisture) and side-dressing (aseuk) for ideal conditions (50%–70% moisture). Furthermore, low Nitrogen detection (9–19 mg/kg) validated visual symptoms of pale leaves, prompting targeted supplemental fertilization (Urea/ZA). This system successfully transitions traditional farming into data-driven precision agriculture.]]>
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