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.

Bibliographic Details
Main Authors: Khan, Shama, Arafat, Mohammad, Dein, Mosleh Al, Niloy, Md. Tifur Waesh, Mahmud, Mufrad
Other Authors: Alam, Md. Ashraful
Format: Thesis
Language:English
Published: Brac University 2024
Subjects:
Maize
Corn
Crop
Leaf disease
Accuracy
Deep convolutional neural network
Neural networks (Computer science)
Crops and climate
Online Access:http://hdl.handle.net/10361/23624

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