Incorporating deep features extracted from convolutional neural networks to utilize machine learning classifiers for improved identification of Maize Leaf Disease
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
Main Authors: | Khan, Shama, Arafat, Mohammad, Dein, Mosleh Al, Niloy, Md. Tifur Waesh, Mahmud, Mufrad |
---|---|
Outros Autores: | Alam, Md. Ashraful |
Formato: | Thesis |
Idioma: | English |
Publicado em: |
Brac University
2024
|
Assuntos: | |
Acesso em linha: | http://hdl.handle.net/10361/23624 |
Registos relacionados
-
Tomato leaf disease detection using convolutional neural network
Por: Hasan, Md. Riazul, et al.
Publicado em: (2023) -
Prospects of Maize in Bangladesh / T.M. Tajul Islam and A.K.Kaul
Por: Tajul Islam,T.M
Publicado em: (1986) -
Leaf classification by feature extraction using CNN
Por: Bhuiyan, Md. Mazharul Islam, et al.
Publicado em: (2020) -
Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
Por: Ferdous, Md.Rubaiat, et al.
Publicado em: (2024) -
An enhanced CNN model for classifying skin cancer
Por: Haider, Kazi MD Minhajul, et al.
Publicado em: (2022)