Source code for the paper "Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches".

Source code for the paper "Color-aware two-branch DCNN for efficient plant disease classification".

Using YOLOv8 and Detectron2 models, this project automates the detection of plant diseases from image data to facilitate early diagnosis and treatment.

Plant disease detection on PlantVillage dataset using EfficientNetV2-B0

Методы ML в задачах детектирования и классификации болезней листьев томатов

End-to-end CNN-based image classification pipeline for plant leaf disease recognition using the PlantVillage dataset, comparing ResNet-18 and EfficientNet-B0 with transfer learning, quantitative evaluation, and Grad-CAM explainability.

This repository contains code for the PhD thesis: "A Study of Self-training Variants for Semi-supervised Image Classification" and publications.

🌿 Detect and classify plant leaves in real-time using YOLOv8, enhancing crop health and productivity through early disease identification.

Deep learning solution for apple disease detection using CNN architecture. Trained on PlantVillage dataset to classify 4 apple leaf conditions with real-time image analysis.

An AI-powered tool using ResNet50 transfer learning to classify crop diseases from leaf images (PlantVillage dataset, 54k+ images, 38 classes). Features data augmentation, class weights, Grad-CAM heatmaps for interpretability, and a Gradio demo. Built with TensorFlow 2.20, deployed on Hugging Face Spaces. Ideal for precision agriculture portfolios.

Self-training variants using PyTorch

AI-Powered Apple Leaf Specialist: identifies common apple leaf issues from photos and provides clear care steps.

Downsampled version of PalntVillage dataset

This repository contains an implementation of a CNN which predicts the disease that a tomato plant has based on a picture of one of its leaves. Images were obtained from the PlantVillage dataset.

A state-of-the-art hybrid deep learning ensemble that combines the strengths of Convolutional Neural Networks (CNNs) and Transformers for intelligent plant disease detection and real world agricultural applications.

This model learns all the features of 48 different kinds of plants (Healthy and diseased) from the PlantVillage Dataset, and identifies the type of disease and the plant when you input any image in the model.

"SmartAgriculture" is a comprehensive web application designed to assist in agricultural decision-making, offering tools for plant disease detection, optimal seed planting guidance, and sensor data monitoring.

End to End Image Classification using CNN on PlantVillage Dataset.

Leaffliction - Leaf Disease Recognition using Computer Vision

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..