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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

Application Open Date
15/09/2020

Application Close Date
15/09/2021

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




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