Agribot: An IoT and Deep Learning-Based System Empowering Precision Farming

Farmers frequently encounter issues such as irregular weather patterns and ineffective resource management, particularly in irrigation practices. Offering them a centralized information platform equipped with vital data for monitoring and managing their fields has the potential to be a game changer. This paper describes an advanced smart agricultural system that combines both cutting-edge software and hardware modules to transform current farming practices. The hardware components, which include data collecting and soil quality assessment sensors, work together with machine learning models to provide accurate weather forecasts and crop recommendations. Our technology offers a high degree of precision in predicting and advising suitable crop choices based on real-time soil conditions by utilizing closely trained models. The user-friendly online interface offers safe authentication mechanisms, complete irrigation status updates, and crop-specific information. The system's distinctive strength comes in its ability to handle soil data, allowing it to provide individualized crop suggestions and exact planting directions. This research not only provides farmers with actionable knowledge but also represents a big step toward more sustainable and efficient farming practices. The study finishes with suggestions for potential future refinement avenues, highlighting the ongoing commitment to enhancing precision farming technologies.