A simple CNN model to detect and classify ten different types of tomato leaf disease.

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

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.

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