Automatic detection of plant diseases
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Updated
Dec 16, 2023 - Python
Automatic detection of plant diseases
Web App for Plant Disease Detection using Tensorflow and streamlit
Series of image recognition algorithms that can diagnose diseases by analysing a picture of the iris of the person
[WACV 2024] Official PyTorch implementation of Brainomaly
BSc Project in Amirkabir University of Technology(Tehran Polytechnique), Prototyping a Healthcare System using microservices architecture include four services: 1.Auth 2. Disease Detection 3. Expertise Diagnosis 4. Search Physician
VasculAR - Integration of Deep Learning into automatic volumetric cardiovascular dissection and reconstruction in simulated 3D space for medical practice
Python package to detect AKI within time series data.
Deep Learning and AI Enthusiasts to contribute to improving COVID-19 detection using just Chest X-rays.
Image Based Disease Detection for banana leaf with WhatsApp integration using CNN and keras-TensorFlow backend!
Telegram bot that helps to identify and treat diseases in wheat crops.
Skin lesion detection app, based on CNN model trained on MSLD v2.0 dataset for detecting: Monkeypox, Chickenpox, Cowpox, HFMD, Measles and healthy.
This project is build during HACK4TKM hackathon held at TKM College of Engineering on February 2024
This innovative mobile application utilizes Flutter for the front-end interface and Flask for the back-end API. Our app employs advanced image processing techniques to detect and diagnose plant diseases accurately.
plant resistance gene analyzer for getting the dna and protein sequences.
Use Python to realize BPNN to recognize corn disease.
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