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.

Bibliografiset tiedot
Päätekijät:	Khan, Shama, Arafat, Mohammad, Dein, Mosleh Al, Niloy, Md. Tifur Waesh, Mahmud, Mufrad
Muut tekijät:	Alam, Md. Ashraful
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2024
Aiheet:	Maize Corn Crop Leaf disease Accuracy Deep convolutional neural network Neural networks (Computer science) Crops and climate
Linkit:	http://hdl.handle.net/10361/23624

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Tomato leaf disease detection using convolutional neural network
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Impact of climate change on crop agriculture southern region of Bangladesh: a Case Study of Banaripara Upazila ,Barisal.
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