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

We created a system that can help maintain home plants or even a full farm — giving our farmers the power of automated AI system to sustain their farm health. Indian agriculture farmers generally suffer due to the low production of crops. The problems lie in conveying a proper message and guidance to maintain their fields efficiently.

Classify pictures of cassava leaves into 1 of 4 disease categories (or healthy)

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.

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

This is an App to Detect Plant Diseases Using Image Classification

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

An application that for farmers to detect the type of plant or crops, detect any kind of diseases in them. The app sends the image of the plant to the server where it is analysed using CNN classifier model. Once detected, the disease and its solutions are displayed to the user

Dataset Analysis & CNN Models Optimization for Plant Disease Classification.

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".

Computer Vision Live detection of plant diseases

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

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

detecting disease in plants' leaves using transfer learning: Inception v3 model.

Dataset Analysis and CNN Models Optimization for Plant Disease Classification.

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.

A simple Plant disease detector APP, using image classification (Machine Learning) technique.

A method for paprika disease severity assessment.

👨🏻‍🌾 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.

The identification of plant disease is the premise of the prevention of plant disease efficiently and precisely in a complex environment. Machine Learning algorithm this work attempt to predict in an earlier stage and outcomes are better.