IoT-Based Autonomous Irrigation Control System
Developed an IoT-based irrigation system that monitors soil and environmental conditions to support intelligent and automated watering decisions. Integrated multiple sensors with Arduino and ESP32 for real-time monitoring and wireless connectivity. Designed a live Blynk IoT dashboard with automated irrigation and manual override functionality. The project also explores VPD and plant-stress-based logic for more adaptive irrigation decisions.