1st International Conference on Computing and Machine Intelligence (ICMI-2021) February 19-20, 2021, Istanbul, Turkey -- Editorial Board Dr. Akhtar JAMIL Dr. Alaa Ali HAMEED -- ISBN: 9786050667578 -- Istanbul Sabahattin Zaim University Yayınları; No. 57.In the agricultural industry which is among the
most prominent sectors on a world scale, image processing for
efficiency and quality has also become an important domain.
Automation systems are working with image processing to
increase the efficiency of the classification of fruits. Image
processing is a method developed for digital image formatting
and performing some operations for obtaining or extracting
useful information from a specific image. There are several
methods and programs for processing images. In this study, the
results obtained by the classification of apple, pear and peach
fruits which are similar to each other, but which differ in terms
of roughness and color, by using image processing techniques
are presented. After the data sets of these fruits are formed,
color and roughness are determined by image processing
techniques, and success rates are compared by using Instance Based (IB) and Bayesian Network classifiers in the analysis
phase. Finally, the performances of the fruit classifications were
investigated using Receiver Operating Character Curve (ROC)
