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

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

Plant Disease Detector Web Application

Ai Challenger 2018 Competitions 农作物病害检测

Automatic detection of plant diseases

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.

Plant Disease Detection is one of the mind-boggling issues when we talk about using Technology in Agriculture. Although researches have been done to detect whether a plant is healthy or diseased using Deep Learning and with the help of Neural Network, new techniques are still being discovered. For Fewer Data Classical Machine Learning Models are said to outstand given the data is pre-processed well. On the same theory here is my approach for Detecting whether a plant leaf is healthy or unhealthy by utilizing the classical Machine Learning Models, Pre-processing the Image Data. The data was fed to 7 Machine Learning Models with 10 fold cross-validation out of which Random Forest Classifier outperformed all the other models giving an accuracy of 97% on the test set.

Performing Leaf Image classification for Recognition of Plant Diseases using various types of CNN Architecture, For detection of Diseased Leaf and thus helping the increase in crop yield.

AI powered plant disease detection and assistance platform currently available as an App and API.

AI web application that detects diseases in plants using FastAi /resnet34 and other deep learning models.

AgriTech is an AI-powered web platform that offers crop recommendations, yield prediction, disease detection, and collaborative tools to empower farmers and promote smart, sustainable agriculture.

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

Designed and trained a Convolutional Neural Network (CNN) to classify plant diseases using labeled leaf image datasets.

Plant disease detection and Solution using Image Classification

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.

🌱 Deep learning based plant disease detection cross-platform mobile application.

A comprehensive project utilizing CNN and Deep Learning to detect and classify diseases in plants, enabling farmers and experts to prevent outbreaks and protect crop yield.

AI Challenger 2018 农作物病害检测

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".

Plant diseases causes many significant damages and losses in crops around the world. Some suitable measures on disease identification should be introduced to prevent damages and minimize losses. Early Detection of Disease helps in increasing the crop productivity as well as in minimizing expense. Technical approaches using machine learning and computer vision are actively researched to achieve intelligence farming by early detection on plant disease. The accuracy of object detection and recognition systems has been drastically improved by the recent development in Deep Neural Networks. By using these systems and implementation of computer vision and machine learning techniques, plant diseases can be detected. Here we have used transfer learning based approach to diagnose diseases of different plants using its images captured by camera devices either drone or smartphone. Our goal is to build a market oriented product for Plant Disease Detection, a smartphone app compatible with both smartphone camera and drone camera. The target group of the user is those who request a quick diagnosis on common leaf disease at any time of the day i.e. Farmers, agricultural industries, agricultural consultants and Government Agencies & Departments.

Deep learning using CNN in tensorflow on Kaggle image dataset containing 87,900 different healthy and unhealthy crop leaves spanning 38 unique classes.

:seedling: PMDDS - Intelligent IoT-based plant health monitoring and disease detection system.

🌱 This project aims to automate plant health monitoring using computer vision and deep learning. It focuses on accurate disease detection and classification in plants through rigorous data preprocessing and robust model selection.

Fight plant disease with AI! This project trains a model to identify plant diseases from leaf images. Analyze features like color and texture to catch problems early and boost crop health.

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

Smart India Hackathon 2k18 project for detecting plant disease based on images of plant leaves having disease

Plants health monitoring through iot and plants disease detection using machine learning in flutter

Plant Disease Detection using ML model and Android App

For the climate AI hackathon