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Dataset used in "PlantDoc: A Dataset for Visual Plant Disease Detection" accepted in CODS-COMAD 2020
Created
2019-09-09
16 commits to master branch, last one 3 years ago
Bases on Leaf images we are trying to predict plant disease using convolutional neural network. PyTorch implementation
Created
2021-03-17
108 commits to main branch, last one 9 months ago
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.
Created
2020-12-14
79 commits to master branch, last one 3 years ago
A plant disease detector (classifier) based on the PlantVillage dataset
Created
2021-01-03
85 commits to main branch, last one 3 years ago
An all purpose flutter app for farmers made under Food and Agriculture theme in Accelathon hackathon
Created
2020-11-16
90 commits to master branch, last one 2 years ago
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 an...
Created
2021-05-15
10 commits to master branch, last one 2 years ago
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".
Created
2021-11-28
4 commits to main branch, last one 3 years ago
Plant disease detection and Solution using Image Classification
Created
2020-12-26
25 commits to main branch, last one 15 days ago