There are 9 repositories under plant-disease topic.
Plant Disease Identification Using Convulutional Neural Network
AI powered plant disease detection and assistance platform currently available as an App and API.
Disease classification on different plants with using Machine Learning and Convolutional Neural Networks.
Brazilian Agricultural Research Corporation (EMBRAPA) fully annotated dataset for plant diseases. Plug and play installation over PiP.
API for the plant disease recognition artificial inteligence project which I collaborated on as a member of Team fort in the NaijaHacks hackaton.
☘️ A beautiful Plant App UI written in Java for android with examples.
Dataset used in "Efficient Identification of Apple Leaf Diseases in the Wild Using Convolutional Neural Networks".
A project to train and evaluate different dnn models for plant disease detection problem, tackle the problem of scarce real-life representative data, experiment with different generative networks and generate more plant leaf image data and implement segmentation pipeline to avoid miss-classification due to unwanted input
Android app for plant disease identification using ML
Image processing code for blob detection and feature extraction in MATLAB. Paper Reference: Detecting jute plant disease using image processing and machine learning. Find the full text here: http://ieeexplore.ieee.org/document/7873147/
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".
plant leaf diseases prediction using four different trained models named pytorch, TensorFlow, Keras and fastai
A project to detect plant disease using leaf images and to calculate the percentage of leaf affected by the disease using OpenCV.
Computer Vision Live detection of plant diseases
Bangkit Capstone Project
This is a plant disease recognition machine learning model
A curated collection of 45 high-quality RGB image datasets for computer vision in agriculture. Features datasets for weed detection, disease identification, and crop monitoring, focusing on natural field scenes. Part of our GIL 2025 survey paper.
Website for online plant diseases analysis from images with advanced search engine.
Plantex 🌿 detects plant diseases with 99% accuracy using TensorFlow/Keras 🤖. It offers disease info 📚, product recommendations 🛒, and organic waste exchange 🔄. An AI chatbot 🤖 aids user interaction. Promoting sustainability 🌱 in smart cities.
r.pops.spread - PoPS model implemented as a GRASS GIS module
Plant disease detection using VGG16 model, which is a pre-trained model that has been trained on a large dataset of images.
React front end of Image classification app AgRGB for detecting leaf disease in plant Leafs.
[IEEE LUMS CodinGuru 2020 Hackathon - Winner] Detect and track locations of TYLCV disease by sending a picture of a leaf to a web chat.
This is a deep learning project in agriculture domain that detect plants diseases
A tool to scan crops and predict healthy crops, crop rust, or powdery mildews.
Welcome to the Plant Disease Classifier Deployment repository! This project integrates cutting-edge technologies to develop a sophisticated plant disease classifier. Leveraging TensorFlow for model creation and ReactJS for the web interface, this project offers an innovative solution for identifying plant diseases swiftly and accurately.
Downsampled version of PalntVillage dataset
A simple Plant disease detector APP, using image classification (Machine Learning) technique.
A ResNet 34-based Algorithm for Robust Plant Disease Detection with 99.2% Accuracy Across 39 Different Classes of Plant Leaf Images.