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A Novel Fuzzy Logic Classifier for Classification and Quality Measurement of Apple Fruit

A Novel Fuzzy Logic Classifier for Classification and Quality Measurement of Apple Fruit
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Author(s): Narendra Kumar Kamila (C. V. Raman College of Engineering, India)and Pradeep Kumar Mallick (Vignana Bharathi Institute of Technology, India)
Copyright: 2017
Pages: 18
Source title: Biometrics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-0983-7.ch025

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Abstract

Fruit and vegetables market is getting highly selective and requiring their suppliers to distribute the fruits of high standards of quality and good appearance. So the growing need to supply quality fruits within a short period of time has given rise to development of Automated Grading of fresh market fruits. The objective of this chapter is to classify apples into three grades based on its attributes such as color, size and weight. Initially apple image database is created. Next each image is analyzed using image processing software where images are first preprocessed and useful features like color and size are extracted from the images. Fuzzy logic is used for classification. Color, size features are represented as a fuzzy variables which are used for classification. The apples of different classes are graded into three grades viz. Grade1, Grade2 and Grade3 on the basis of combination of parameters mentioned above.

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