An Intelligent Soil Moisture Monitoring and Irrigation System for Indoor Cultivation

Efficient irrigation management remains one of the most critical and labor-intensive operations in agriculture and indoor gardening. Watering practices must be carefully regulated irrespective of climatic variability, including high-temperature dry conditions or excessive humidity. Improper irrigation scheduling and inaccurate water quantity control can lead to overwatering, root diseases, nutrient leaching, or water stress, ultimately affecting plant growth and yield. Therefore, precise monitoring of soil moisture levels and environmental parameters is essential to ensure optimal plant health and sustainable water utilization. To address the limitations of manual irrigation—particularly the uncertainty associated with determining the appropriate timing and volume of water application—this study proposes the design and implementation of an Indoor Gardening Irrigation System based on automated sensing and control mechanisms. The system eliminates the need for continuous human supervision by integrating soil moisture sensing, environmental monitoring, and intelligent water delivery control. By automating irrigation decisions, the system enhances plant growth efficiency while significantly reducing water wastage. The proposed architecture employs the ESP8266 NodeMCU microcontroller as the central processing unit due to its integrated Wi-Fi capability and low power consumption. A soil moisture sensor continuously measures the volumetric water content of the growing medium. The microcontroller is programmed with predefined threshold values corresponding to specific plant water requirements. When the detected moisture level falls below the programmed threshold range, the system automatically activates a water pump through a relay-controlled pipeline distribution network. Irrigation continues until the soil moisture level returns to the optimal range, ensuring precision watering based on real-time feedback. In addition to soil monitoring, a DHT11 sensor is incorporated to measure ambient temperature and relative humidity. These environmental parameters provide contextual data that can influence irrigation frequency and evapotranspiration rates. The system also includes a liquid crystal display (LCD) module for real-time local visualization of sensor readings and system status. For remote monitoring and user interaction, the system integrates IoT functionality through the ESP8266’s Wi-Fi interface. Sensor data and irrigation status updates are transmitted to a mobile platform such as Telegram via a cloud-based communication protocol. This enables users to receive real-time notifications, monitor environmental conditions, and supervise irrigation activities remotely. Overall, the developed system provides a smart, energy-efficient, and water-conserving irrigation solution tailored for indoor gardening environments. By combining embedded systems, IoT communication, and sensor-based feedback control, the proposed framework improves irrigation accuracy, enhances plant productivity, and promotes sustainable resource management.