Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41835
Title: | Development of a mobile robot with vision based perception for mechanical weed control |
Authors: | Muhammad Hafiz, Abdul Karim Zulkifli Husin |
Keywords: | Robotics Mobile robots Digital image processing Mechanical weed controlled Mobile robot -- Design and construction |
Issue Date: | Jun-2015 |
Publisher: | Universiti Malaysia Perlis (UniMAP) |
Abstract: | Field of digital image processing is gaining attention worldwide because researchers use technology extensively in various applications in everyday life. Therefore, an investigation was carried out for the purpose of developing a computer algorithm that can identify weeds and chili plant thus reducing the work of man. The main objective is to use the concept of erosion and dilation is expected to overcome the common problems in the real-time image processing. In this research, technique of erosion and dilation has been developing to produce the set of feature vectors that can identify and classify decisions. The methodology involves has three main phases, development of the database, phase of the development of algorithms and the phase of system integration and prototype implementation. From the result 120 out of 150 sample data have proved that set of feature vector using the proposed technique successfully produce classification results. |
Description: | Access is limited to UniMAP community. |
URI: | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41835 |
Appears in Collections: | School of Computer and Communication Engineering (FYP) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Abstract,Acknowledgement.pdf | 273.56 kB | Adobe PDF | View/Open | |
Introduction.pdf | 103.77 kB | Adobe PDF | View/Open | |
Literature Review.pdf | 201.16 kB | Adobe PDF | View/Open | |
Methodology.pdf | 1.46 MB | Adobe PDF | View/Open | |
Results and Discussion.pdf | 400.22 kB | Adobe PDF | View/Open | |
Conclusion and Recommendation.pdf | 182.13 kB | Adobe PDF | View/Open | |
Refference and Appendics.pdf | 232.1 kB | Adobe PDF | View/Open |
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