PLANT DOCTOR développement d'un système inteligent pour le diagnostic des maladies des plantes
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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.
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https://theses.univ-temouchent.edu.dz/opac_css/doc_num.php?explnum_id=5904
