GitHub topics: plant-disease-classification
Wavxr/SuperMango
SuperMango is a mobile app that helps mango farmers detect anthracnose risk and severity by analyzing leaf photos and real-time weather data. Using a ResNet50 model for severity classification and a Random Forest model for environmental risk prediction, the app provides actionable recommendations based on scientific thresholds.
Language: TypeScript - Size: 579 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 0

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.
Language: HTML - Size: 36.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 23 - Forks: 9

smaranjitghose/corn_pathology_ai
Analysis of various Deep Learning architectures for the detection of Corn🌽 Leaf Diseases
Size: 242 MB - Last synced at: 7 days ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 2

sachin-acharya-projects/AgroGuard
AgroGuard is a deep-learning-based application that helps us identify different diseases in plants and provides timely cures.
Language: TypeScript - Size: 536 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 6

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
Language: Python - Size: 5.06 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 4

MUGISHAALDIN/RAB-nearestPesticides
This is a php based project it helps farmers to find the nearest pesticide shop and also they can use it searching information and knowing about the plant diseases and and they can contact nearest pesticide shop for additional information if nedeed.
Language: PHP - Size: 3.98 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

InPhyT/Plant_Disease_Classification_CNN
Dataset Analysis and CNN Models Optimization for Plant Disease Classification.
Language: HTML - Size: 7.29 MB - Last synced at: 1 day ago - Pushed at: almost 3 years ago - Stars: 8 - Forks: 2

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
Language: Python - Size: 1.67 MB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

nikhil-singh1/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.
Language: Jupyter Notebook - Size: 3.5 MB - Last synced at: 5 days ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

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
Language: R - Size: 109 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

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.
Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Tobsky/Plant_disease_app
A Streamlit web application for classifying plant diseases using deep learning models.
Language: Python - Size: 725 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

pitmonticone/PlantDiseaseClassification
Dataset Analysis & CNN Models Optimization for Plant Disease Classification.
Language: HTML - Size: 22.3 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 5

elfailali/plante-disease-detection
This is a deep learning project in agriculture domain that detect plants diseases
Language: Jupyter Notebook - Size: 8.08 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

joaopauloschuler/two-branch-plant-disease
Source code for the paper "Color-aware two-branch DCNN for efficient plant disease classification".
Language: Jupyter Notebook - Size: 738 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 4

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".
Language: Jupyter Notebook - Size: 143 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 17 - Forks: 4

AryanKaushal2002/Plant-Disease-Prediction-Using-StreamLit-and-Docker
Plant Disease Prediction using CNN
Language: Jupyter Notebook - Size: 365 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

xml94/EmbracingLimitedImperfectTrainingDatasets
Embrace limited and imperfect training datasets in plant disease recognition using deep learning.
Size: 14.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

syedissambukhari/Eggplant-biotic-stress-detection-app-using-CNN
Eggplant biotic stress detection app using CNN
Language: Java - Size: 574 KB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

imshaaz21/Crop-Monitoring-Smart-Agriculture
CS3282 - Industrial Computer Engineering Project
Language: Jupyter Notebook - Size: 624 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

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.
Language: Jupyter Notebook - Size: 7.21 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 6

savadsvd/STREAMLIT-WEB-APP
developed DL web app deploy on streamlit. the model created by Transfer learning using VGG16 with CNN.
Language: Python - Size: 55.7 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Sakshi053/Cotton-Plant-Disease-Classification-Web-Application
Deploying a Cotton Plant Disease Classification Flask application Using DenseNet121
Language: Jupyter Notebook - Size: 18.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

abdullahselek/plant-disease-classification-api
REST API for the classification of plant diseases.
Language: Python - Size: 64.4 MB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 2

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
Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

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
Language: Jupyter Notebook - Size: 4.03 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
