BOZKIR Rover Team || The ground station user interface. I developed for the BOZKIR Agricultural Unmanned Ground Vehicle
You can access my LinkedIn account here
hlmclgl@gmail.com
This project was developed by the BOZKIR ROVER TEAM for the TEKNOFEST 2023 Agricultural Unmanned Ground Vehicle Competition.
In this project, I took over the team leadership of the BOZKIR Rover Team and at the same time the responsibility of the software department. I have developed instant object detection using the autonomous driving algorithms, user interface and YOLO V3 deep learning algorithm of the Agricultural Unmanned Land Vehicle. Following this, I did the reporting management and data analysis of the entire project.
Here're some of the project's best features:
- Tracking of the vehicle via instant map
- Monitoring of vehicle speed via the application
- Monitoring of instantaneous ambient temperature values
- Monitoring of instantaneous humidity level values
- Spraying of weeds
- Instant tracking of the amount of weed sprayed
- Monitoring of the amount of pesticides carried by the vehicle
- Monitoring the battery status of the vehicle
- Tracking the movements of the vehicle via the vehicle camera
- To stop the vehicle via the application in case of emergency
Technologies used in the project:
- DevExpress
- YOLO V3
This project is licensed under the MIT License


