A simple CNN model to detect and classify ten different types of tomato leaf disease.
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Updated
Dec 9, 2021 - Python
A simple CNN model to detect and classify ten different types of tomato leaf disease.
Leaf Analyzer - an automatic leaf trait measurement tool
This project identifies a disease caused by a particular micro-organism that is infested on the leaf of a plant and also shows the estimated health severity of the leaf based on how much of a leaf is infected.
Envgame tools create leaf disease model usering flask and tensorflow. New commit for National Young Informatics in Viet Nam
🧠 Deep learning model (Custom CNN) trained on 30K+ balanced leaf images to classify Healthy vs Diseased plants. TensorFlow · Keras · OpenCV · Streamlit · Google Colab T4 GPU.
Membuat Aplikasi Leaf Diseases dengan Flutter | Deteksi Penyakit Pada Tanaman
A deep learning based system ot recognize potato leaf disease by capturing or uploading image.
Penelitian ini menerapkan pruning dan quantization pada model CNN berbasis MobileNet untuk mendeteksi penyakit daun melon. Model mengklasifikasikan empat kondisi daun: sehat, embun bulu, embun tepung, dan hama pengorok, dengan evaluasi accuracy, precision, recall, dan F1-score untuk mengukur performa dan efisiensi model.
CassavaCare AI — > a mobile-first Flask + MobileNetV2 web app that classifies cassava leaf disease (Bacterial Blight, Mosaic Disease, Healthy) from a photo and gives farmers instant, confidence-aware diagnosis and management advice
🌿 Projet de Computer Vision basé sur un dataset de feuilles malades : analyse exploratoire, data augmentation, transformations d’images et classification CNN. Pipeline complet en Python, tests, visualisations, reproductibilité et modèle >90% accuracy.
Classification of 38 different leaf diseases using MobileNet
This repository hosts an end-to-end deep learning pipeline for advanced agricultural diagnostics. Utilizing a custom multi-output Convolutional Neural Network built on an EfficientNetB0 backbone, this model simultaneously identifies 21 plant species and diagnoses 65 distinct plant diseases from a single leaf image. Trained on a robust, merged data
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