AgroGuard is a deep-learning-based application that helps us identify different diseases in plants and provides timely cures.

Analysis of Plant Pathogen Pathotype Complexities, Distributions and Diversity

Dataset used in "Efficient Identification of Apple Leaf Diseases in the Wild Using Convolutional Neural Networks".

A tool to scan crops and predict healthy crops, crop rust, or powdery mildews.

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.

This is a web app for predicting plant diseases using Convolutional Neural Networks (CNN). The model is trained on the PlantVillage dataset which contains images of healthy and diseased plant leaves. The dataset consists of 38 classes of plant diseases. The model is built using TensorFlow and Keras and trained on Google Colab.

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.

r.pops.spread - PoPS model implemented as a GRASS GIS module

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

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

This is a plant disease recognition machine learning model

This is a deep learning project in agriculture domain that detect plants diseases

Simulation modelling of crop diseases using a Healthy-Latent-Infectious-Postinfectious (HLIP) model in Julia

Epidemiologia de Doenças de Plantas Aplicada com R

Eggplant biotic stress detection app using CNN

Flutter Application to help plant owners diagnose and treat diseases that may affect their plants.

Plant disease detection using VGG16 model, which is a pre-trained model that has been trained on a large dataset of images.

Android app for plant disease identification using ML

Prediction and Analysis in Neural Networks

React front end of Image classification app AgRGB for detecting leaf disease in plant Leafs.