Nastiti, Nabila Gina and Krybus, Werner and Rusyadi, Rusman (2016) Automatic Vision-Based Plant Detection and Spacing Measurement System for Beet Plants. Bachelor thesis, Swiss German University.

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Abstract

Automatic seeding machine has inaccuracy that can only be seen after the plants are growing. The error can be detected automatically without harming the plant by using camera. It requires vision manipulation that able to adapt with the shape variation of plant. Therefore, the study of image processing for plant has to be specific. In this thesis, the work subject is focus on beet crops. The research purpose is to obtain the most accurate approach for detecting the center stem of plants. The system will be tested with beet plants as the inputs and the accuracy of the center stem location detection and the inter-plant spacing will be analyzed. The program is using Matlab. The Image Source integrated optic camera is used to take images of the plants. The reference used for result comparison is obtain from manual measurement by metric tape. Two different approaches are used in this thesis; skeleton and curvature. The number of experiments are required in filtering and converting the images to achieve the correct position.

Item Type:	Thesis (Bachelor)
Uncontrolled Keywords:	Plant Detection; Skeleton; Curvature; Matlab.
Subjects:	S Agriculture > SB Plant culture T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering systems. Automatic machinery (General)
Divisions:	Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User:	Atroridho Rizky
Date Deposited:	12 Nov 2020 14:44
Last Modified:	12 Nov 2020 14:44
URI:	http://repository.sgu.ac.id/id/eprint/1422

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