An efficient deep learning approach to detect citrus leaves disease
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
Main Authors: | Emon, Shaharear Hossain, Islam, Iftea Khairul, Nahin, Tasfia Jahan, Ahmed, Ahnaf Mahdin |
---|---|
Other Authors: | Alam, Dr. Md. Ashraful |
Format: | Thesis |
Language: | English |
Published: |
Brac University
2024
|
Subjects: | |
Online Access: | http://hdl.handle.net/10361/23596 |
Similar Items
-
An efficient deep learning approach to detect skin Cancer
by: Islam, Ashfaqul, et al.
Published: (2022) -
An efficient deep learning approach to detect skin cancer using image data
by: Chowdhury, Yaser Al Rahman, et al.
Published: (2023) -
Prostate cancer detection using deep learning neural network with transfer learning approach
by: Badhon, Ariful Islam Mahmud, et al.
Published: (2022) -
Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
by: Hossain, Mainul, et al.
Published: (2022) -
Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
by: Fiona, Driciru, et al.
Published: (2024)