Classification of Edible and Poisonous Mushrooms using Machine Learning Algorithms

Author(s)	Ch. Surya Kalyani, D.S.L. Manikanteswari
Country	India
Abstract	There are millions of different types of mushrooms that grow all over the planet, but only one type is edible. Understanding how to differentiate between edible and dangerous mushrooms is an expertise that takes experience. Therefore, it's crucial to classify toxic and edible mushrooms. In addition to employing fungi's physical characteristics, machine learning (ML) techniques may be employed as well to distinguish between poisonous and edible mushrooms. Models will be developed to classify edible and deadly mushrooms based on features from the Mushroom collection and various distinct machine-learning algorithms. The results of this study were examined, and it was determined if the mushrooms were edible or dangerous by considering the physical characteristics of the mushrooms.
Keywords	Mushroom edibility, CNN Model, Healthy diet, poisonous mushrooms, Image Classification
Field	Computer
Published In	Volume 6, Issue 2, March-April 2024
Published On	2024-04-29
Cite This	Classification of Edible and Poisonous Mushrooms using Machine Learning Algorithms - Ch. Surya Kalyani, D.S.L. Manikanteswari - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.18538
DOI	https://doi.org/10.36948/ijfmr.2024.v06i02.18538
Short DOI	https://doi.org/gtsnv2

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