Ataş, MusaDoğan, Yahya2017-05-162017-05-162015-01-01https://hdl.handle.net/20.500.12604/649in this study machine vision based pistachio nut classifier system is presented. Proposed system is evaluated on the Siirt pistachio species. Siirt pistachio nuts differ from other pistachio species such as Antep pistachio according to their shape, size and taste properties. Traditionally, pistachio nuts are inspected/classified via visual inspection of workers, manually. As a result, classification process is subjected to poor efficiency in terms of time and cost. Moreover, visual inspection and classification by hand is a tedious process and may contain various health risks. Our developed machine vision system aims to classify pistachio nuts to closed and open shell classes in a fully automated manner.For the sake of simplicity and rules extraction ability from training dataset, J48 decision tree was utilized as a main classifier. Classification performance of J48 was also compared to other well-known classifiers including Naïve Bayes and Multi-Layer Perceptron (MLP). Experiments revealed that proposed system using J48 decision-tree yields simple and interpretable classifier along with satisfactory classification accuracy performance of 94.5%.eninfo:eu-repo/semantics/openAccessMachine VisionMachine LearningClassificationPistachio NutsJ48Decision TreeArticle