Plant disease detection and Solution using Image Classification
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Updated
Jan 12, 2025 - Jupyter Notebook
Plant disease detection and Solution using Image Classification
A CNN model for detecting leaf diseases.
[IEEE Access] Towards Sustainable Agriculture: A Novel Approach for Rice Leaf Disease Detection using dCNN and Enhanced Dataset
Membuat Aplikasi Leaf Diseases dengan Flutter | Deteksi Penyakit Pada Tanaman
Deep Learning (MobileNetV2 & PyTorch) powered Plant Leaf Disease Detection Web App with %99.28 Validation Accuracy and Active Learning loop. 🌿
Detect plant leaf diseases instantly with the AI Leaf Disease Detector, a smart web app powered by TensorFlow.js and HTML5 Canvas. Upload or capture a leaf photo to identify plant diseases, pests, or nutrient deficiencies — and export professional PDF/CSV reports directly from your browser. Designed for gardeners, farmers, and plant lovers, built..
🌿 Deep Learning project for Plant Disease Detection using MobileNetV2 Transfer Learning and TensorFlow with 94.47% validation accuracy.
Leaf Disease Detection using CNN | Python | TensorFlow | Tkinter GUI
Leaf Disease Detection using Deep Learning and Flask. Upload leaf images to predict plant diseases
AI-powered plant disease detection system using Deep Learning (MobileNetV2) and PlantVillage Dataset with Flask backend and interactive frontend.
Leaf disease detection app using higher-order fuzzy preprocessing and CNN models.
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