An Autonomous Agricultural Robot Using IoT: Developed a system that aims to design an autonomous agricultural robot controlled through IoT technology, providing real-time monitoring of fields and improving the irrigation system.

Role and Contributions

• Backend Development: Designed and implemented the backend logic and control algorithms of the agricultural robot using Python, ensuring efficient data processing and control functionalities.
• IoT Integration: Integrated IoT technologies to enable remote control and monitoring of the agricultural robot, including sensor data collection and communication protocols.
• Frontend Development: Developed interactive user interfaces using JavaScript to facilitate real-time monitoring and control of the agricultural robot.
• Testing and Optimization: Conducted rigorous testing and optimization to ensure the reliability, performance, and accuracy of the autonomous agricultural robot system.

Outcomes and Results

• Successful Development: Successfully developed and deployed the Autonomous Agricultural Robot Using IoT system, achieving the objectives of improving field monitoring and irrigation efficiency.
• Enhanced Field Monitoring: The system provides real-time monitoring of fields, enabling farmers to make data-driven decisions and optimize resource allocation.
• Improved Irrigation System: With precise control of the irrigation system based on real-time data, water usage is optimized, leading to improved crop yield and reduced water wastage.

• Internet of Things (IoT): Utilized IoT technology to enable remote control and monitoring of the agricultural robot, facilitating real-time data collection and analysis.
• Python: Used as the primary programming language for developing the backend logic and control algorithms of the agricultural robot.
• JavaScript: Employed for frontend development, enabling interactive user interfaces for monitoring and controlling the agricultural robot.

Challenges Faced and Solutions

• Challenge: Integrating multiple IoT sensors and devices for real-time monitoring and control.
  Implemented a robust IoT architecture to handle communication between sensors, devices, and the agricultural robot, ensuring seamless data flow and control functionalities.


• Challenge: Designing efficient control algorithms for autonomous navigation and irrigation system control.
  Solution: Developed advanced control algorithms using Python to enable autonomous navigation, soil parameter monitoring, and precise control of the irrigation system, optimizing resource utilization and crop yield.