PlantGuard: intelligent plant disease detection

PlantGuard: intelligent plant disease detection

This project report is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2024.

Bibliografische gegevens
Hoofdauteur:	Khanom, Nazifa
Andere auteurs:	Hossain, Muhammad Iqbal
Formaat:	Project report
Taal:	English
Gepubliceerd in:	Brac University 2024
Onderwerpen:	Leaf textures Texture features CNN Convolutional neural network Image data analysis Deep learning Disease detection Plant diseases > Diagnosis. Neural networks (Computer science) > Agricultural aspects. Artificial intelligence > Applications in agriculture.
Online toegang:	http://hdl.handle.net/10361/24033

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Enhanced medical image analysis: leveraging CUDA for fast and accurate Pneumonia detection with optimized CNNs
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An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
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Silent voice: harnessing deep learning for lip-reading in Bangla
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Skin cancer classification for seven types of skin lesions
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Leaf classification by feature extraction using CNN
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Smart agriculture management system for rice disease detection and fertilizer
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Detecting Deepfake images using deep convolutional neural network
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