Research Thesis Topic
Multi-sensor based on-the-go automatic N fertilizer application
Topic ID:
413
Thesis Topic/Title:
Multi-sensor based on-the-go automatic N fertilizer application
Description
Site specific fertilizer application not only reduces the harmful effects to the environment but also have economic benefits to the farmers by optimising the amount of fertilizer applied. This project focus on tractor automation with multi sensor hardware and attached sprayer for the development of on the go fertilizer application. Optimization techniques for real-time cloud storage and processing of sensor data for developing the precision map will be evaluated. ROS based CAN bus communication with the tractor and spraying system will be developed and evaluated for the real time fertilizer application.
Principal Supervisor
Associate Supervisors
Research Affiliations
- National Centre for Engineering in Agriculture
Field of Research
- Artificial Intelligence and Image Processing
Available Academic Programs
- Doctor of Philosophy (DPHD)
Application Open Date
15/09/2020
Application Close Date
31/12/2022
USQ Scholarship Applications
Pre-approved for Ethics
Not Applicable
Admission Requirements
Please review the admission requirements for the academic program associated with this Thesis Topic