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http://dspace.univ-temouchent.edu.dz/handle/123456789/2420
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DC Field | Value | Language |
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dc.contributor.author | MECIRDI YASSINE | - |
dc.contributor.author | REMINI FAROUK | - |
dc.contributor.author | SEKKAL Mansouria | - |
dc.contributor.author | BEMMOUSSAT Chems Eddine | - |
dc.date.accessioned | 2024-02-18T10:57:02Z | - |
dc.date.available | 2024-02-18T10:57:02Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://dspace.univ-temouchent.edu.dz/handle/123456789/2420 | - |
dc.description.abstract | Our project involves the creation of an intelligent application based on advanced artificial intelligence (AI) algorithms for the rapid detection and diagnosis of plant diseases. The application uses deep learning models, including convolutional neural networks (CNNs), to analyse plant images, classify diseases and provide accurate treatment recommendations. Users can easily upload images for real-time analysis, receive instant results and access a vast knowledge base on plant diseases and their solutions. The aim of this research project is to revolutionise plant health management by providing an accessible tool for agriculture and gardening enthusiasts, helping to improve crop yields and plant vitality. | en_US |
dc.language.iso | fr | en_US |
dc.subject | artificial intelligence, deep learning, Python, plant diseases, convolutional neural network (CNN). | en_US |
dc.title | PLANT DOCTOR Développement d'un système intelligent pour le diagnostic des maladies des plantes | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Electrotechnique |
Files in This Item:
File | Description | Size | Format | |
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Memoire.pdf | 4,6 MB | Adobe PDF | View/Open |
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