Abstract: Seed germination is a critical stage in agricultural production that requires precise environmental control to ensure optimal growth conditions. This paper presents the design and implementation of a smart Internet of Things (IoT) based seed germination chamber with remote monitoring and predictive control. The proposed system integrates temperature, humidity, and soil moisture sensors with a microcontroller-based control system to maintain optimal environmental conditions automatically. The system uses IoT technology for real-time monitoring and remote control through a cloud platform. A predictive control algorithm is implemented to analyze environmental data and adjust irrigation, lighting, and ventilation systems accordingly. Experimental results demonstrate that the proposed system improves germination efficiency, reduces water consumption, and minimizes manual intervention. The system provides a low-cost and efficient solution for smart agriculture and controlled environment farming.
Niaz et al. (Mon,) studied this question.