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DEEP AND TRADITIONAL LEARNING MODELS FOR ACCURATE CLASSIFICATION OF EDIBLE AND POISONOUS MUSHROOMS

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Deep and Traditional Learning Models for Mushroom Classification

Deep and Traditional Learning Models for Accurate Classification of Edible and Poisonous Mushrooms

International Journal of Computer Techniques – Volume 12 Issue 2, March – April – 2025 | ISSN :2394-2231

Kumararaja Jetti, Bapatla Engineering College, kumararaja.jetti@becbapatla.ac.in

Vanukuri Akhilandeswari, Bapatla Engineering College, Y21ACS585@becbapatla.ac.in

Pilli Susmitha, Bapatla Engineering College, Y21ACS539@becbapatla.ac.in

Saikam Venkata Samba Siva Rao, Bapatla Engineering College, Y21ACS560@becbapatla.ac.in

The accurate classification of mushrooms into edible and poisonous categories is crucial for public health and food safety…

Mushroom Classification, Machine Learning, Deep Learning, Neural Networks, Food Safety

This study compares traditional and deep learning methods for classifying edible and poisonous mushrooms…

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