tags: - image-classification - agriculture - plant-disease - tensorflow - cnn datasets: - custom language: - multilingual model-index: - name: CropPathogenClassifier results: []
πΎ CropPathogenClassifier
Author: Shashwat Singh
Model Name: Shashwat0511/CropPathogenClassifier
Framework: TensorFlow/Keras (CNN-based)
π§ Model Overview
CropPathogenClassifier is a Convolutional Neural Network (CNN) model designed to classify plant leaf images into one of five classes:
- Bacteria
- Fungus
- Healthy
- Pests
- Virus
This model is part of the broader AgriGPT initiative to assist farmers and agronomists in identifying crop diseases early and accurately.
π Use Cases
- Early detection of crop diseases
- AI-powered agriculture advisory systems
- Smart farming apps (mobile/web)
- Education and research in plant pathology