Source code for the paper "Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches".

Dataset Analysis & CNN Models Optimization for Plant Disease Classification.

Source code for the paper "Color-aware two-branch DCNN for efficient plant disease classification".

Computer Vision Live detection of plant diseases

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.

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.

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

CS3282 - Industrial Computer Engineering Project

Dataset Analysis and CNN Models Optimization for Plant Disease Classification.

REST API for the classification of plant diseases.

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

detecting disease in plants' leaves using transfer learning: Inception v3 model.

Embrace limited and imperfect training datasets in plant disease recognition using deep learning.

This is a deep learning project in agriculture domain that detect plants diseases

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

Eggplant biotic stress detection app using CNN

Plant Disease Prediction using CNN

developed DL web app deploy on streamlit. the model created by Transfer learning using VGG16 with CNN.