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.
Hauptverfasser: | Emon, Shaharear Hossain, Islam, Iftea Khairul, Nahin, Tasfia Jahan, Ahmed, Ahnaf Mahdin |
---|---|
Weitere Verfasser: | Alam, Dr. Md. Ashraful |
Format: | Abschlussarbeit |
Sprache: | English |
Veröffentlicht: |
Brac University
2024
|
Schlagworte: | |
Online Zugang: | http://hdl.handle.net/10361/23596 |
Ähnliche Einträge
-
An efficient deep learning approach to detect skin Cancer
von: Islam, Ashfaqul, et al.
Veröffentlicht: (2022) -
An efficient deep learning approach to detect skin cancer using image data
von: Chowdhury, Yaser Al Rahman, et al.
Veröffentlicht: (2023) -
Prostate cancer detection using deep learning neural network with transfer learning approach
von: Badhon, Ariful Islam Mahmud, et al.
Veröffentlicht: (2022) -
Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
von: Hossain, Mainul, et al.
Veröffentlicht: (2022) -
Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
von: Fiona, Driciru, et al.
Veröffentlicht: (2024)