Cassava leaf disease classification using deep learning and convolutional neural network ensemble

Cassava leaf disease classification using deep learning and convolutional neural network ensemble

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Bibliografische gegevens
Hoofdauteurs: Shahriar, Hasan, Shuvo, Protick Sarker, Fahim, Md. Saidul Haque, Sordar, Md Sobuj, Haque, Md Esadul
Andere auteurs: Chakrabarty, Amitabha
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2022
Onderwerpen:
Deep learning
Cassava leaf
Prediction
Decision tree
Xception
Neural networks
EfficientNet B0
Resnet 50
VGG16
Inception V3
DenseNet 121
Machine learning
Cognitive learning theory (Deep learning)
Neural networks (Computer science)
Online toegang:http://hdl.handle.net/10361/16633

Internet

http://hdl.handle.net/10361/16633

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