This project presents a Solar Powered Robot for Smart Weed Cutting and Pesticide Spraying with AI-based weed detection and web-based remote monitoring and control for precision agriculture. The system is built around a Raspberry Pi Zero 2W, which interfaces with a Pi Camera, DC motors, servo motor, relays, and an L293D motor driver. Live video captured by the Pi Camera is streamed to a web dashboard, where an AI object detection model identifies weeds and displays bounding boxes labeled "WEED" and "NO WEED" in real time. Based on the detection results, the operator can remotely control the robot to perform targeted weed cutting and pesticide spraying through a Wi-Fi-enabled web interface. The robot is powered by a solar panel, rechargeable battery, and charging circuit, ensuring continuous operation using renewable energy while reducing dependence on conventional power sources. The Raspberry Pi is programmed in Python to process live video, execute AI-based weed detection, and control the robot's movement and agricultural operations. The integration of real-time video analytics, automated weed identification, and selective pesticide spraying minimizes unnecessary chemical usage, reduces labor requirements, and improves farming efficiency. By combining renewable solar energy, intelligent vision-based weed detection, and remote web control, the proposed system provides a cost-effective, eco-friendly, and modern solution for smart agriculture, enhancing crop productivity while promoting sustainable farming practices.    

The main objectives of the project are:       The major building blocks of this project are:

1. SOLAR.
2. Charging circuit.
3. Battery Power Supply.
4. LM2596.
5. Raspberry Pi Zero 2W.
6. Pi Camera.
7. DC motors with driver.
8. Grass cutter.
9. Relays.
10. Pesticide motor.
11. Servo motor.
12. LED indicators.

      Software’s used:  

1. Python language.
2. Express SCH for Circuit design.

        video: