Incorporating deep features extracted from convolutional neural networks to utilize machine learning classifiers for improved identification of Maize Leaf Disease

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.

Detalles Bibliográficos
Autores principales: Khan, Shama, Arafat, Mohammad, Dein, Mosleh Al, Niloy, Md. Tifur Waesh, Mahmud, Mufrad
Otros Autores: Alam, Md. Ashraful
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2024
Materias:
Maize
Corn
Crop
Leaf disease
Accuracy
Deep convolutional neural network
Neural networks (Computer science)
Crops and climate
Acceso en línea:http://hdl.handle.net/10361/23624

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