Bachelor and Master Theses

Title: Intelligent orange-picking robot
Subject:
Level: Advanced
Description: Today the harvesting of oranges are done either by hand, or by blunt machines that can damage
the fruits in the process. Canopy-shaking mechanical harvesters are increasingly being used in
Florida to harvest oranges. This technique often damages both the fruit and the trees. It is also
very limited due to the fact that it can not be used while the trees are in bloom. A more precise
way to pick fruit in order to minimize the damage done in automatic harvesting would be desired.
There are tests where large machines using several cameras and image processing in order to
determine the position of each fruit and using ejecting secateurs to cut down fruit. This is
computationally heavy and is still not very precise, with most of the fruits falling to the ground
and the being picked up by a different machine. It is also very expensive machinery, and is not
used as a complete solution in harvesting.
Company: Unibap, kontaktperson: Oskar Flordal
Start date: 2018-01-01
Prel. end date: 2018-06-01
Presentation date: 2018-06-01
Student: Patrik Pärlefjord pan10003@student.mdh.se
IDT supervisors:
Carl Ahlberg
carl.ahlberg@mdh.se, +46-21-101573
     
Examinator: Ning Xiong
Ning Xiong
ning.xiong@mdh.se, +46-21-151716

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