Image-based mapping system for transplanted seedlings

dc.contributor.authorMcGahee, Kyle
dc.date.accessioned2016-11-18T15:46:12Z
dc.date.available2016-11-18T15:46:12Z
dc.date.graduationmonthDecember
dc.date.issued2016-12-01
dc.description.abstractDevelopments in farm related technology have increased the importance of mapping individual plants in the field. An automated mapping system allows the size of these fields to scale up without being hindered by time-intensive, manual surveying. This research focuses on the development of a mapping system which uses geo-located images of the field to automatically locate plants and determine their coordinates. Additionally, this mapping process is capable of differentiating between groupings of plants by using Quick Response (QR) codes. This research applies to green plants that have been grown into seedlings before being planted, known as transplants, and for fields that are planted in nominally straight rows. The development of this mapping system is presented in two stages. First is the design of a robotic platform equipped with a Real Time Kinematic (RTK) receiver that is capable of traversing the field to capture images. Second is the post-processing pipeline which converts the images into a field map. This mapping system was applied to a field at the Land Institute containing approximately 25,000 transplants. The results show the mapped plant locations are accurate to within a few inches, and the use of QR codes is effective for identifying plant groups. These results demonstrate this system is successful in mapping large fields. However, the high overall complexity makes the system restrictive for smaller fields where a simpler solution may be preferable.
dc.description.advisorDale Schinstock
dc.description.degreeMaster of Science
dc.description.departmentDepartment of Mechanical and Nuclear Engineering
dc.description.levelMasters
dc.description.sponsorshipNational Science Foundation
dc.identifier.urihttp://hdl.handle.net/2097/34527
dc.language.isoen_US
dc.publisherKansas State University
dc.rights© the author. This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectMapping
dc.subjectPlant identification
dc.subjectRobot
dc.subjectCoordinates
dc.titleImage-based mapping system for transplanted seedlings
dc.typeThesis

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