KHEDARA AMEUR RAMI- BENNACEF CHAOUKI2025-11-112025MM/918https://dspace.univ-bba.dz/handle/123456789/1018This research enabled us to identify the types of plant diseases and their effects using visual data processing and feature extraction techniques. The main objective was to design an efficient system to improve the detection and classification of plant diseases. Convolutional Neural Networks (CNNs) were used for detection, combined with classifiers such as SVM for classification. The proposed approach is based on the interaction between Deep Learning and Machine Learning. This combination of multiple methods led to improved results, even in the presence of noisy dataen-USThesis