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
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Updated
Jul 29, 2024 - R
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
AgroGuard is a deep-learning-based application that helps us identify different diseases in plants and provides timely cures.
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.
A Streamlit web application for classifying plant diseases using deep learning models.
This is a deep learning project in agriculture domain that detect plants diseases
Source code for the paper "Color-aware two-branch DCNN for efficient plant disease classification".
Source code for the paper "Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches".
Plant Disease Prediction using CNN
Embrace limited and imperfect training datasets in plant disease recognition using deep learning.
Deploying a Cotton Plant Disease Classification Flask application Using DenseNet121
Eggplant biotic stress detection app using CNN
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.
CS3282 - Industrial Computer Engineering Project. Helps farmers to apply the right amount of fertilizers to the fields.
developed DL web app deploy on streamlit. the model created by Transfer learning using VGG16 with CNN.
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
Repository containing code, tutorial, and additional resources for deep learning image classification project
REST API for the classification of plant diseases.
Dataset Analysis and CNN Models Optimization for Plant Disease Classification.
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
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
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