IoT-based design for plant cultivation experiments and data logging

Lima Dias, Jessica Ellen and Revoly, András and Bártfai, Zoltán and Barkó, György Csaba (2025) IoT-based design for plant cultivation experiments and data logging. PROGRESS IN AGRICULTURAL ENGINEERING SCIENCES, 21 (1). pp. 201-214. ISSN 1786-335X

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Abstract

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.

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