- International Journal of Engineering and Innovative Research
- Vol: 1 Issue: 2
- MUSHROOM SPECIES DETECTION USING IMAGE PROCESSING TECHNIQUES
MUSHROOM SPECIES DETECTION USING IMAGE PROCESSING TECHNIQUES
Authors : Yasemin Rukiye Erkan, Humar Kahramanli Örnek
Pages : 71-83
View : 14 | Download : 9
Publication Date : 2019-12-16
Article Type : Research
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