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.
Birincil Dil | İngilizce |
---|---|
Konular | Mühendislik |
Bölüm | Research Articles |
Yazarlar | |
Yayımlanma Tarihi | 16 Aralık 2019 |
Kabul Tarihi | 30 Temmuz 2019 |
Yayımlandığı Sayı | Yıl 2019 Cilt: 1 Sayı: 2 |
Open Journal Systems (BOAI)
This work is licensed under a Creative Commons Attribution 4.0 International License