<![CDATA[Maidenhair fern (Adiantum tenerum Sw.) is an ornamental plant with high economic value but is highly sensitive to environmental conditions, especially soil moisture, which must be maintained within 50%–80% for optimal growth. Improper cultivation, including poor drainage and fluctuating soil moisture, can cause leaf wilting, root rot, and plant death. This study uses a system design and experimental testing approach to develop a smart garden system for monitoring and automatic watering of maidenhair fern using the Blynk platform. The system integrates an ESP32 microcontroller, soil moisture sensor, relay module, water pump, and Wi-Fi connectivity for real-time monitoring and remote control. Soil moisture conditions were classified as dry (0–49%), moist (50–80%), and wet (80–100%). Results show that the pump activates below 50% and deactivates above 80%, with dry soil (42%–49%) increasing to wet levels (89%–95%) after irrigation. Relay testing confirmed that a high input consistently turns the pump on under dry conditions, while a low input turns it off under moist or wet conditions. Multi-day performance tests demonstrated stable, reliable operation, with real-time data displayed on both LCD and the Blynk application. These findings indicate that the smart garden system effectively regulates soil moisture, simplifies maintenance of maidenhair fern, and provides a practical foundation for IoT-based smart agriculture applications.]]>
Copyrights © 2026
