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.

Detalhes bibliográficos
Main Authors:	Shahriar, Hasan, Shuvo, Protick Sarker, Fahim, Md. Saidul Haque, Sordar, Md Sobuj, Haque, Md Esadul
Outros Autores:	Chakrabarty, Amitabha
Formato:	Thesis
Idioma:	English
Publicado em:	Brac University 2022
Assuntos:	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)
Acesso em linha:	http://hdl.handle.net/10361/16633

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

Registos relacionados