plant-disease-classification
There are 29 repositories under plant-disease-classification topic.
joaopauloschuler/two-path-noise-lab-plant-disease
Source code for the paper "Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches".
CodeDroid999/CropCareAI
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.
joaopauloschuler/two-branch-plant-disease
Source code for the paper "Color-aware two-branch DCNN for efficient plant disease classification".
pitmonticone/PlantDiseaseClassification
Dataset Analysis & CNN Models Optimization for Plant Disease Classification.
amine-amali/detecting-diseases-in-plant
Computer Vision Live detection of plant diseases
farhad324/Auto-Chloro-A-Crop-Disease-Classifier-and-Remedies-Provider-In-Bangla
Auto Chloro is a plant disease classifier & remedies provider that uses deep learning. It can predict diseases and provide remedies. The GUI is based on Bangla Language keeping in mind that, our primary target is to create an application to predict plant diseases and provide remedies for the Bangladeshi people.
KimaruThagna/Picture-lytics
Using Google's teachable machine to generate an image classification model and serving the model via streamlit. The classification tasks will be brain MRI tumor classification and Plant disease classification
imshaaz21/Crop-Monitoring-Smart-Agriculture
CS3282 - Industrial Computer Engineering Project. Helps farmers to apply the right amount of fertilizers to the fields.
InPhyT/Plant_Disease_Classification_CNN
Dataset Analysis and CNN Models Optimization for Plant Disease Classification.
mounikpatel/plant-disease-detection
detecting disease in plants' leaves using transfer learning: Inception v3 model.
abdullahselek/plant-disease-classification-api
REST API for the classification of plant diseases.
Dimas263/NLP_NER_BERT_BILSTM_CRF_Named_Entity_Recognition
NLP Named Entity Recognition dalam bidang Biomedis, mendeteksi teks dan membuat klasifikasi apakah teks tersebut mempunyai entitas plant atau disease, memberi label pada teks, menguji hubungan entitas plant dan disease, menilai kecocokan antara kedua entitas, membandingkan hasil uji dengan menggunakan models BERT-BILSTM-CRF
elfailali/plante-disease-detection
This is a deep learning project in agriculture domain that detect plants diseases
smaranjitghose/corn_pathology_ai
Analysis of various Deep Learning architectures for the detection of Cornš½ Leaf Diseases
gaurank11/PlantDiseaseClassifier
This project uses a Convolutional Neural Network (CNN) to classify potato plant images as Healthy, Early Blight, or Late Blight. Built with TensorFlow and Keras, it helps in quickly identifying plant diseases for better crop management.
xml94/EmbracingLimitedImperfectTrainingDatasets
Embrace limited and imperfect training datasets in plant disease recognition using deep learning.
Dimas263/NLP_NER_BERT_Named_Entity_Recognition
NLP Named Entity Recognition dalam bidang Biomedis, mendeteksi teks dan membuat klasifikasi apakah teks tersebut mempunyai entitas plant atau disease, memberi label pada teks, menguji hubungan entitas plant dan disease, menilai kecocokan antara kedua entitas, membandingkan hasil uji dengan menggunakan models BERT
Mashiat12/Plant_leaf_disease_prediction
This project aims to develop a method for detecting plant diseases using CNNs by analyzing leaf images.The CNNs are proficient in handling large datasets and can dynamically learn new features from them in a supervised manner. By learning the important features from the input images, CNNs can make accurate predictions about the presence of diseases
rawat-sushil/PlantsHealth
Plant disease classification using deep neural network
daorse/PlantDiseaseNN
Dataset Analysis and CNN Models Optimization for Plant Disease Classification.
IITA-UUwp2/Mapping-aflatoxin-risk-in-maize-using-machine-learning
These are files associated with the prediction of aflatoxin risk levels in maize using various ensemble and non-ensemble machine learning methods in east and southern Africa countries
sachin-acharya-projects/AgroGuard
AgroGuard is a deep-learning-based application that helps us identify different diseases in plants and provides timely cures.
Sakshi053/Cotton-Plant-Disease-Classification-Web-Application
Deploying a Cotton Plant Disease Classification Flask application Using DenseNet121
savadsvd/STREAMLIT-WEB-APP
developed DL web app deploy on streamlit. the model created by Transfer learning using VGG16 with CNN.
syedissambukhari/Eggplant-biotic-stress-detection-app-using-CNN
Eggplant biotic stress detection app using CNN
tlsouth/Hops_CNN_Project
Repository containing code, tutorial, and additional resources for deep learning image classification project
Tobsky/Plant_disease_app
A Streamlit web application for classifying plant diseases using deep learning models.
AryanKaushal2002/Plant-Disease-Prediction-Using-StreamLit-and-Docker
Plant Disease Prediction using CNN
guptajatin/plant-disease-resnet50-cnn
Developed a ResNet50 model from scratch and applied it to classify different classes of plant diseases. The goal of the project is to leverage the powerful ResNet50 architecture to accurately identify and classify various diseases that affect plants, contributing to better disease management and crop yield.