Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
Egile Nagusiak: | Ferdous, Md.Rubaiat, Amin, Abdulla Al, Shaily, Senjuti Sarkar, Ricky, Fabliha Tarannum, Tabeeb, Tahmeed |
---|---|
Beste egile batzuk: | Islam, Saiful |
Formatua: | Thesis |
Hizkuntza: | English |
Argitaratua: |
Brac University
2024
|
Gaiak: | |
Sarrera elektronikoa: | http://hdl.handle.net/10361/24293 |
Antzeko izenburuak
-
Evaluating CNN and Vvsion transformer models for Mango Leaf variety identification
nork: Labiba, Zaima, et al.
Argitaratua: (2024) -
Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
nork: Ishrak, Gazi Hasin, et al.
Argitaratua: (2022) -
Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
nork: Ifty, Md. Hasin Sarwar, et al.
Argitaratua: (2024) -
A deep learning approach for prediction of ADHD using brain structure
nork: Siam, Shafin Ahad, et al.
Argitaratua: (2024) -
Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
nork: Fiona, Driciru, et al.
Argitaratua: (2024)