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Mushroom Classification Using Convolutional Neural Network

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dc.contributor.author Habib, Julfikar
dc.contributor.author Sarker, Shaswatee
dc.contributor.author Pau, Toma Rani
dc.date.accessioned 2022-09-06T03:21:36Z
dc.date.available 2022-09-06T03:21:36Z
dc.date.issued 2022-01-02
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8615
dc.description.abstract Mushroom is a type of fungi. Nowadays it has become one of the world-wide nutrient’s foods on the plant. We can cultivate mushroom for medicine, health food and for other purpose. Mushrooms are also used in medical center for killing cancer cell. The motive of this project to identify mushroom. Either it Poisonous or nonpoisonous. This project also shows how to utilize developmental calculation to do highlights determination on mushroom dataset, using Convolution Neural Network. For this paper we collect our image data from Kaggle and practically both. We are working on this paper so that we can focus to classify the wild mushroom surface element that is based on deep learning approach. To find this we will implement here a different architecture of CNN. They are ResNet50 and VGG16. The project likewise discusses different utilizations of auto-affiliated organization and hereditary calculation. It could likewise assist mycologists with distinguishing wild mushrooms. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Mushroom culture en_US
dc.subject Mushroom industry en_US
dc.subject Cultivated mushroom en_US
dc.subject Neural networks en_US
dc.subject Deep learning en_US
dc.title Mushroom Classification Using Convolutional Neural Network en_US
dc.title.alternative a Transfer Learning Approach en_US
dc.type Article en_US

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