IoT-based design for plant cultivation experiments and data logging

Recent advancements in low-cost microcontroller platforms and Internet of Things (IoT) sensors have enabled the development of automated, modular growth chambers for precise environmental control in plant studies. This study presents a cost-effective, scalable chamber equipped with Wi-Fi-enabled sensors for real-time monitoring of temperature, humidity, CO 2 , light intensity, and soil parameters. The system integrates an automated irrigation mechanism, programmable lighting, and cloud-based data management system. The design ensures independent sensor operation, preventing system-wide failures while maintaining experimental reproducibility. The results demonstrate that this approach significantly reduces costs while maintaining a reliable working system, providing high-resolution environmental control and making it suitable for diverse agricultural and botanical research applications.