Norwegian title of thesis:
"Maskinlæringsbasert maskinsyn for identifisering og lokalisering av plukkebare jordbær for høsteroboter"
Prescribed subject of the trial lecture:
"Instance Segmentation - traditional methods, deep learning and evaluation metrics"
Time and place for the trial lecture and the public defence:
Monday 20 June 2022
13:30 Trial lecture
14:30 Public defence
Place: Festsalen (U215), Urbygningen, NMBU, and Zoom
First opponent: Professor Ibrahim Volkan Isler, University of Minnesota, USA
Second opponent: PhD Petra Bosilj, Department of Computer Science, University of Lincoln, UK
Committee coordinator: Associate professor Alireza David Anisi, REALTEK, NMBU
Main supervisor: Professor Pål Johan From, REALTEK, NMBU
Co-supervisors: Associate professor Grzegorz Cielniak, Lincoln Institute of Agri-food Technology, University of Lincoln
This public defence will be partly digital. All are welcome to witness the digital defence, but please read and abide by the guidelines stated below. This is required for the defense to run without interruptions and noise.
Guidelines for attending the defense via Zoom:
You will first be placed in the waiting room. Please introduce yourself with your name and affiliation.
Put your microphone on mute and do not use your camera.
If anyone wishes to oppose Ex Auditorio, please ask your question in the chat before the 1st opponent finishes his or her opposition.
Testing of your own equipment is advised before attending.
The doctoral thesis is available for public review. If you want access to the thesis in pdf, please send an email to phd-realtek(at)nmbu.no.
Please include name of candidate and thesis number 2022:16, ISSN: 1894-6402, ISBN 978-82-575-1891-2