A Scalable Deep Learning Approach for Mushroom Species Classification and Toxicity Prediction

This paper presents a high-performance hybrid deep learning model for mushroom classification. By combining EfficientNet-B0 and SVM, the system achieves exceptional accuracy and reliability. The proposed approach can significantly reduce the risks associated with mushroom misidentification and contribute to advancements in agricultural technology and food safety.

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