Topic: plant-disease Goto Github
Some thing interesting about plant-disease
Some thing interesting about plant-disease
plant-disease,Plant Disease Detection
User: 2052sagar
plant-disease,Disease classification on different plants with using Machine Learning and Convolutional Neural Networks.
User: abdullahselek
plant-disease,โ๏ธ A beautiful Plant App UI written in Java for android with examples.
User: achmadqomarudin
Home Page: https://achmadqomarudin.netlify.app
plant-disease,Simulation modelling of crop diseases using a Healthy-Latent-Infectious-Postinfectious (HLIP) model in Julia
User: adamhsparks
Home Page: https://adamhsparks.github.io/Epicrop.jl
plant-disease,Flutter Application to help plant owners diagnose and treat diseases that may affect their plants.
User: ahmednasser1601
Home Page: https://plantsdoctor2023.web.app
plant-disease,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.
User: alok-2002
Home Page: https://plant-disease.netlify.app
plant-disease,Computer Vision Live detection of plant diseases
User: amine-amali
plant-disease,Plant disease detection using VGG16 model, which is a pre-trained model that has been trained on a large dataset of images.
User: ankitsinghh12
plant-disease,This project purpose a PlantCare system using SW-Prolog software. The proposed system can provide a robust platform for identifying plants diseases, recognizing pests, assessing nutrient deficiencies, and evaluating environmental stressors.
User: asma11za
plant-disease,Downsampled version of PalntVillage dataset
User: attaullah
plant-disease,Plant disease classification using Neural Networks
User: bkleyn
plant-disease,A simple Plant disease detector APP, using image classification (Machine Learning) technique.
User: dev-abir
plant-disease,Django Websites For Named Entity Recognition and Relation Extraction, Support by BRIN and Gunadarma
User: dimas263
plant-disease,This is a plant disease recognition machine learning model
User: ekanathan-1001
plant-disease,This is a deep learning project in agriculture domain that detect plants diseases
User: elfailali
Home Page: https://plant-detection-frontend.vercel.app
plant-disease,API for the plant disease recognition artificial inteligence project which I collaborated on as a member of Team fort in the NaijaHacks hackaton.
User: emmarex
plant-disease,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.
User: gokulnpc
plant-disease,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
User: israelabebe
plant-disease,Dataset used in "Efficient Identification of Apple Leaf Diseases in the Wild Using Convolutional Neural Networks".
User: jasonyangcode
Home Page: https://www.mdpi.com/2073-4395/12/11/2784
plant-disease,Use of computational vision techniques to detect plant diseases
User: jefersonalves
plant-disease,Source code for the paper "Color-aware two-branch DCNN for efficient plant disease classification".
User: joaopauloschuler
plant-disease,Source code for the paper "Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches".
User: joaopauloschuler
plant-disease,Epidemiologia de Doenรงas de Plantas Aplicada com R
Organization: lemid
Home Page: https://lemid.github.io/epidemioR/
plant-disease,Website for online plant diseases analysis from images with advanced search engine.
User: maitreyapatel
plant-disease,Matura Project Assignment (High School Thesis) of Matyรกลก Bohรกฤek at Gymnรกzium Jana Keplera, 2022/2023
User: matyasbohacek
Home Page: https://github.com/matyasbohacek/gjk-maturitni-prace-inf-2022/blob/main/supporting_files/thesis.pdf
plant-disease,Bangkit Capstone Project
User: maulanaakbardj
plant-disease,Plantex ๐ฟ detects plant diseases with 99% accuracy using TensorFlow/Keras ๐ค. It offers disease info ๐, product recommendations ๐, and organic waste exchange ๐. An AI chatbot ๐ค aids user interaction. Promoting sustainability ๐ฑ in smart cities.
User: meet244
Home Page: https://plantex-earth.netlify.app
plant-disease,Using a pre-trained efficientnet (for experimental purposes) to classifier plant diseases given an image. Plant village challenge dataset.
User: mrdvince
plant-disease,A project to detect plant disease using leaf images and to calculate the percentage of leaf affected by the disease using OpenCV.
User: nahushkulkarni
plant-disease,AI powered plant disease detection and assistance platform currently available as an App and API.
User: nandakishormpai
plant-disease,r.pops.spread - PoPS model implemented as a GRASS GIS module
Organization: ncsu-landscape-dynamics
Home Page: https://grass.osgeo.org/grass7/manuals/addons/r.pops.spread.html
plant-disease,Analysis of Plant Pathogen Pathotype Complexities, Distributions and Diversity
Organization: openplantpathology
Home Page: https://openplantpathology.github.io/hagis
plant-disease,I am a Senior Research Scientist at CSIRO who specialises in Agroecological modelling.
User: paulmelloy
Home Page: https://paul.melloy.com.au/
plant-disease,A deep learning based system for disorder detection in tomato plants. Also used IoT to get sensor data from the plants. Two seperate models were trained for this project. One dealt with Images and other with Sensor Data. You can use both to predict the Disorder of Tomato Plants.
User: praneet9
plant-disease,plant leaf diseases prediction using four different trained models named pytorch, TensorFlow, Keras and fastai
User: puneethreddyhc
Home Page: https://youtu.be/aXEj3w0UQF4
plant-disease,Brazilian Agricultural Research Corporation (EMBRAPA) fully annotated dataset for plant diseases. Plug and play installation over PiP.
User: rodrigobressan
plant-disease,Plant disease detection using images of leaves
User: rupeish
Home Page: https://plantdiseasedetect.herokuapp.com/
plant-disease,AgroGuard is a deep-learning-based application that helps us identify different diseases in plants and provides timely cures.
User: sachin-acharya-projects
plant-disease,Android app for plant disease identification using ML
User: sagar-alias-jacky
plant-disease,A ResNet 34-based Algorithm for Robust Plant Disease Detection with 99.2% Accuracy Across 39 Different Classes of Plant Leaf Images.
User: saijeevanpuchakayala
Home Page: https://chromaticscan.streamlit.app/
plant-disease,Classifier build to recognize disease on apple leaves images
User: sfczekalski
plant-disease,React front end of Image classification app AgRGB for detecting leaf disease in plant Leafs.
User: sudiptob2
Home Page: http://agrgb.sudiptobaral.com
plant-disease,A Convolutional Neural Network based image classification model to detect disease in plants.
User: sudoshivam
plant-disease,Plant Disease Identification Using Convulutional Neural Network
User: sumanismcse
plant-disease,Eggplant biotic stress detection app using CNN
User: syedissambukhari
plant-disease,Prediction and Analysis in Neural Networks
User: thefutureguy
plant-disease,A tool to scan crops and predict healthy crops, crop rust, or powdery mildews.
User: varnit-ta
Home Page: https://agroinsight.onrender.com
plant-disease,Image processing code for blob detection and feature extraction in MATLAB. Paper Reference: Detecting jute plant disease using image processing and machine learning. Find the full text here: http://ieeexplore.ieee.org/document/7873147/
User: znreza
Home Page: https://ai-diary-by-znreza.com/
plant-disease,[IEEE LUMS CodinGuru 2020 Hackathon - Winner] Detect and track locations of TYLCV disease by sending a picture of a leaf to a web chat.
User: zoraizq
Home Page: https://devpost.com/software/hackathon-6gkwix
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