Eggplant biotic stress detection app using CNN
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Updated
Dec 2, 2023 - Java
Eggplant biotic stress detection app using CNN
Plant Disease Prediction using 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.
developed DL web app deploy on streamlit. the model created by Transfer learning using VGG16 with CNN.
Repository containing code, tutorial, and additional resources for deep learning image classification project
AgroGuard is a deep-learning-based application that helps us identify different diseases in plants and provides timely cures.
Deploying a Cotton Plant Disease Classification Flask application Using DenseNet121
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
A Streamlit web application for classifying plant diseases using deep learning models.
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
Plant disease classification using deep neural network
Embrace limited and imperfect training datasets in plant disease recognition using deep learning.
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
Analysis of various Deep Learning architectures for the detection of Corn🌽 Leaf Diseases
This is a deep learning project in agriculture domain that detect plants diseases
REST API for the classification of plant diseases.
detecting disease in plants' leaves using transfer learning: Inception v3 model.
CS3282 - Industrial Computer Engineering Project. Helps farmers to apply the right amount of fertilizers to the fields.
Dataset Analysis and CNN Models Optimization for Plant Disease Classification.
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