Open AccessDetection of Mango Tree Varieties Based on Image Processing
Author(s) -
Eko Prasetyo
Publication year - 2016
Publication title -
indonesian journal of science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.567
H-Index - 11
eISSN - 2528-1410
pISSN - 2527-8045
DOI - 10.17509/ijost.v1i2.3800
Subject(s) - image processing , tree (set theory) , preprocessor , variety (cybernetics) , pattern recognition (psychology) , artificial intelligence , feature extraction , digital image processing , mathematics , feature (linguistics) , computer science , image (mathematics) , computer vision , linguistics , mathematical analysis , philosophy
Mango is one of the most favourite fruits in the world. Therefore, this type of fruit has been researched deeply to enrich the variety. Here, the purpose of this study was to find the easiest method to determine the type and the variety of mango. In short of the experimental method, we analyzed the leaf using an image processing method. To confirm our result, several analyses were also conducted: leaves process digital image acquisition, and preprocessing, as well as feature extraction and classification. The result showed that our image processing method was effective to detect the variation of up to 78%. We believe that further study using this method will be effective for other types of fruits.
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