leaf-diseases-detect and Corn-Leaf-Diseases-Detection

These are competitors—both are end-to-end Streamlit applications for leaf disease detection, but A uses a vision LLM (Llama Vision via Groq) for multi-disease support while B uses a specialized CNN model (TensorFlow/Keras) trained specifically on corn leaves.

Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 15/25
Stars: 129
Forks: 49
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 5
Forks: 4
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
No Package No Dependents
Stale 6m No Package No Dependents

About leaf-diseases-detect

shukur-alom/leaf-diseases-detect

AI leaf disease detection system with FastAPI + Streamlit using Llama Vision (Groq) for all diseases, severity and treatment recommendations

This system helps farmers, gardeners, and agricultural professionals quickly identify what's wrong with their plants. You upload a picture of a diseased leaf, and it tells you the specific disease, how severe it is, and what you should do to treat it. It's designed for anyone managing plant health who needs fast, accurate diagnostics and actionable advice.

crop-management plant-pathology horticulture agricultural-diagnostics pest-management

About Corn-Leaf-Diseases-Detection

Luissalazarsalinas/Corn-Leaf-Diseases-Detection

Corn leaf diseases detection App built with Tensorflow, Keras and Streamlit

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