Dataset used in "PlantDoc: A Dataset for Visual Plant Disease Detection" accepted in CODS-COMAD 2020

Farmassist is a smart farming app for IoT and AI-powered plant disease detection. It is built with Flutter and uses Firebase as its backend.

Bases on Leaf images we are trying to predict plant disease using convolutional neural network. PyTorch implementation

A plant disease detector (classifier) based on the PlantVillage dataset

An all purpose flutter app for farmers made under Food and Agriculture theme in Accelathon hackathon

An application that provides complete assistance to farmers right from sowing to harvesting. Its features include plant disease detection, crop recommendation, real-time API support for environment analysis, detailed crop-cost analysis, buy/sell/rent farming equipment and an interactive farmers' community.

This repo contains the python codes of my final thesis "Analysis of leaf species and detection of diseases using image processing and machine learning methods".

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

Plant disease detection and Solution using Image Classification

👨🏻‍🌾 An Expert System for smart farming which provides the farmers with best solutions and hardware matching their needs exactly, with the ability to monitor and control the hardware remotely through the website UI in real-time.

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

Rudraksh - Blending Tech with Nature's Essence, Unveiling Plant Health

Saathi - Crop recommendation using ML and plant disease identification using CNN and transfer-learning approach

Dataset Analysis & CNN Models Optimization for Plant Disease Classification.

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

Upload leaf image🌱 and predict the plant disease.

Computer Vision Live detection of plant diseases

CropCareAI is an AI-powered web application built using Flask to assist plant enthusiasts, farmers, and researchers in identifying and diagnosing plant diseases using pretrained Machine Learning models.

This is a deep-learning-powered forum for farmers. Its main features are leaf disease detection, providing remedies for diseases, and related posts aggregation.

Web Application which predicts Plant's Disease using ML Models