Abstract:
Greenhouses play a crucial role in modern agriculture by providing controlled environments for plant growth and increased yield. However, maintaining optimal greenhouse conditions can be costly and challenging. In this research, we propose an AI-based system to support greenhouse farming by leveraging innovative technologies. The objective is to develop an automated system that monitors and controls environmental parameters inside the greenhouse. Our system utilizes a cloud-connected mobile robot equipped with image processing and machine learning capabilities to monitor temperature, soil moisture, humidity, and pH. The robot navigates through a predefined greenhouse map, identifies sick plants, and collects real-time data. A dedicated database server is employed to store the data, which can be further analyzed using appropriate applications.
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