gaurank-sharma/PlantDiseaseClassifier
This project uses a Convolutional Neural Network (CNN) to classify potato plant images as Healthy, Early Blight, or Late Blight. Built with TensorFlow and Keras, it helps in quickly identifying plant diseases for better crop management.
No commits in the last 6 months.
Stars
2
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Nov 03, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/gaurank-sharma/PlantDiseaseClassifier"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
shukur-alom/leaf-diseases-detect
AI leaf disease detection system with FastAPI + Streamlit using Llama Vision (Groq) for all...
codebasics/potato-disease-classification
Potato Disease Classification - Training, Rest APIs, and Frontend to test.
georgemuriithi/tomato-disease-detection
This is an end-to-end project in the agricultural domain. A Convolutional Neural Network (CNN)...
manabil/Dectma
A web application to detect diseases in tomatoes through image detection on tomato leaves using YoLo
Luissalazarsalinas/Corn-Leaf-Diseases-Detection
Corn leaf diseases detection App built with Tensorflow, Keras and Streamlit