MUSHROOM SPECIES DETECTION USING IMAGE PROCESSING TECHNIQUES

Authors : Yasemin Rukiye ERKAN, Humar KAHRAMANLI ÖRNEK

Pages : 71-83

View : 27 | Download : 11

Publication Date : 2019-12-16

Article Type : Research Paper

Abstract :There are many kinds of mushrooms in the world, some of them are edible and some are poisonous. People may want to eat the mushrooms they encounter in nature, as a result of which they may become poisoned or even die. In this research image processing techniques, K-NN and Naive Bayes algorithms were used to classify mushroom species in Selçuk University Campus. As a result of the research, K-NN algorithm achieved 80% and Naive Bayes algorithm achieved 96% accuracy.
Keywords : Image Processing, Mushroom Species, K NN, Naive Bayes