Automate weed identification and removal with AI and mechanical precision. Reduce labor costs, increase crop yields, and promote sustainable farming practices.
Learn MoreThe innovative minds behind Smart Weeding Robot - dedicated to revolutionizing agriculture through technology
| Name | Registration No. | Student No. |
|---|---|---|
| Wangoda Francis | 24/U/11855/PS | 2400711855 |
| Mujuni Innocent | 24/U/07155/PS | 2400707155 |
| Namuli Angel Rebecca | 24/U/09332/PS | 2400709332 |
| Bwanika Robert | 24/U/23908/PSA | 2400723908 |
| Nalugo Linda | 24/U/24447/PS | 2400724447 |
Revolutionary technology for modern agriculture
Advanced computer vision accurately identifies weeds from crops using machine learning algorithms.
Smart navigation system guides the robot through crop rows while avoiding obstacles.
Environmentally friendly operation with solar panel integration and efficient battery system.
Servo-controlled mechanical arm provides accurate weed removal without damaging crops.
Web and mobile interface for real-time monitoring, control, and performance tracking.
Reduces chemical usage and promotes eco-friendly agricultural practices.
Monitor and control your robot from anywhere with our intuitive mobile application
Real-time visual monitoring of field operations with live camera streaming from the robot
Real-time visual monitoring of field operations with live camera streaming from the robot
This shows system logs and health
Comprehensive control panel for robot monitoring and manual overide
Comprehensive control panel for robot monitoring and manual overide
Different views of our Smart Weeding Robot
Advanced mechanical design with precision components
Autonomous navigation in real agricultural environments
Cutting-edge computer vision and machine learning
See our Smart Weeding Robot in action
A brief overview of the robot
Showing simple navigation
Complete demonstration of simple arm movements and navigation
Join the future of smart farming with our autonomous weeding solution.
Ready to revolutionize your farming operations? Contact our team for more information.
Kampala, Uganda
+256 771858922
fwangoda@gmail.com
It automatically detects and removes weeds from maize fields using a machine learning model and mechanical control, reducing labor and improving efficiency.
Yes. The robot sends data to your mobile app, allowing you to track progress and view live feed from your phone.
The system is trained to distinguish between common maize crops and typical weed species in Ugandan farms.
Yes, it runs on a rechargeable battery system integrated into the chassis.
The robot uses a trained model to distinguish weeds from maize. While it may not be 100% perfect, it achieves high accuracy in typical maize field conditions.
