Classification of Mushroom Fungi Using Machine Learning Techniques

Mushroom is one of the fungi types' food that has the most potent nutrients on the plant. Mushrooms have major medical advantages such as killing cancer cells. This study aims to find the most appropriate technique for mushroom classification, and mushroom will be classified into two categories, poisonous and nonpoisonous. The proposed approach will implement a different techniques and algorithms like neural network (NN), Support Vector Machines (SVM), Decision Tree, and k Nearest Neighbors (KNN), on dataset of mushroom images, where the dataset contains images with background and without background. The experimental results shown that the best technique for classifying mushroom images is kNN with accuracy of 94% based on features extracted from images with real dimensions of mushroom types, and 87% based on features extracted from images only.