Transforming Agriculture with Unmanned Ground Vehicles: Precision and Sustainability

School of Engineering and Technology
Institute for Future Farming Systems (IFFS)
Dr. Zhenglin Wang
Professor Kerry Walsh

Synopsis

This research explores the application of Unmanned Ground Vehicles (UGVs) in agriculture, focusing on enhancing productivity, precision, and sustainability. By investigating UGV capabilities in precision agriculture, developing autonomous navigation systems, and optimizing crop management through machine learning, the study aims to demonstrate how UGVs can perform key agricultural tasks more efficiently than traditional methods. Field trials and data analysis will assess the economic and environmental impacts, highlighting UGVs' potential to reduce resource usage and improve sustainability. The research seeks to position UGVs as a transformative technology, offering scalable solutions adaptable to various crops and farming conditions.

Agricultural and Veterinary Sciences; Engineering; Information and Computing Sciences
Unmanned Ground Vehicles (UGVs), Precision Agriculture, Machine Learning, Agricultural Robotics, Crop Management
September 2024
Doctorate
Brisbane

Other special notes

This project is supported by the Australian National Industry PhD Program.

Project contacts