Evaluating CNN and Vvsion transformer models for Mango Leaf variety identification
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
Auteurs principaux: | Labiba, Zaima, Heram, Afrin A, Hossain, Md.Muhtasim, Alam, Sharia, Shakal, Binita Khan |
---|---|
Autres auteurs: | Chakrabarty, Amitabha |
Format: | Thèse |
Langue: | English |
Publié: |
Brac University
2024
|
Sujets: | |
Accès en ligne: | http://hdl.handle.net/10361/23586 |
Documents similaires
-
আম /
par: সিদ্দিকী, মাহবুব -
Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
par: Ferdous, Md.Rubaiat, et autres
Publié: (2024) -
Studies on physico-chemical and microbiological qualities of some selected brand of mango fruit juice of Bangladesh
par: Amin, Md. Ruhul
Publié: (2016) -
Disease detection system of mango leaves
par: Islam, Sabrina, et autres
Publié: (2024) -
Plant leaf disease identification
par: Hasan Mahin, Mohammad Rakibul, et autres
Publié: (2024)