Mushroom Species Classification in Natural Habitats Using Convolutional Neural Networks (CNN)

Mushrooms are known for their significant nutritional value and are essential to the human diet. However, the dilemmas associated with ingesting poisonous mushroom species stress the critical need for accurate identification methods. Despite many efforts to identify mushroom species, these methods a...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.176818-176832
Hauptverfasser:	Bashir, Rab Nawaz, Mzoughi, Olfa, Riaz, Nazish, Mujahid, Muhammed, Faheem, Muhammad, Tausif, Muhammad, Khan, Amjad Rehman
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adaptation models Artificial neural networks classifications Computational modeling Computer vision convolutional neural network (CNN) Convolutional neural networks Deep learning Feature extraction Habitats Identification methods Image color analysis Image enhancement Machine learning Mushroom Mushrooms Neural networks Shape Species classification Training
Online-Zugang:	Volltext
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