Segmentation of Crop Weed Discrimination by Machine Learning

Entry requirements

Please use this Research Proposal, Personal statement and CV writing guide when preparing an application.

Months of entry

Anytime

Course content

Machine Learning has been found successful for various real-life applications including medical, finance, autonomous cars, text recognitions, and many others. Similarly, machine learning-based methods have been effective in addressing agricultural problems.

The main goal of this PhD project is to develop machine learning models that can address and segment between crops and weeds. The specific objectives of this project are as follows:

· Detect and segment crops and weeds in a real agricultural environment.

· Optimise the performance of state-of-the-art machine learning models.

· Develop a robust machine learning model that can be validated in different scenarios.

Fees and funding

This programme is self-funded.

To enquire about University of Salford funding schemes – including the Widening Participation Scholarship – visit this website.