Intelligent Navigation Control System for Greenhouse Monitoring

Greenhouse monitoring is one of the main keys in precision agriculture. With the emergence of new technologies such Internet of things (IoT), many approaches were developed to optimize this process using different sensors such cameras, Nitrogen, Phosphorus, and Potassium sensors (NPK), etc. This paper presents the design and implementation of a mechanical nano system for real-time monitoring and control within an agricultural greenhouse. By utilizing small computing devices such Arduino and Nvidia Jetson Nano platforms, the proposed system synchronizes motorized movements of a surveillance camera for precise monitoring and environmental conditions management. Using the acquired information, this system can control irrigation, lighting, and ventilation, while optimizing resource utilization and enabling early detection of plant health issues. Experimental results confirm successful motor synchronization and reliable wireless communication. This innovation represents a significant advancement in agricultural automation, with opportunities for further enhancement through artificial intelligence integration for data-driven decision-making.