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Developing Bacterial Wilt Detection Model On Enset Crop Using A Deep Learning Approach PDF

91 Pages·2022·English
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by ['Sofi Ketema']| 2022| 91 pages| English

About Developing Bacterial Wilt Detection Model On Enset Crop Using A Deep Learning Approach

This document is a thesis submitted by Yidnekachew Kibru Afework to the Addis Ababa Science and Technology University for the degree of Master of Science in Software Engineering. The thesis proposes developing a deep learning model to detect bacterial wilt disease in enset crops using images. The model will be trained on a dataset of over 4,800 images of healthy and diseased enset collected from farms. The deep learning model aims to classify new images as healthy or diseased with high accuracy to help identify disease without requiring expert pathologists to inspect each crop.

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Author:['Sofi Ketema']
Publication Year:2022
Pages:91
Language:English
Format:PDF
Price:FREE
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