Crop Disorder Ontology Classifier
This repository mirrors Ontology Part/model.pkl from Crop Disorder Detection, a project combining image processing and an ontology-based crop disorder component. The source backend loads the pickle and calls model.predict on a pandas DataFrame. The associated CSV has 20 binary features (Q1–Q20) and an Output label with eight classes.
Files and use
model.pkl: original serialized Python model (16.8 KB)- Related dataset
- Source inference code
Only load pickle files from sources you trust. Loading a pickle can execute code. The checkpoint was copied from the public GitHub repository; this card does not claim that it has been safely deserialized or independently tested.
Limitations
The GitHub repository does not document the saved estimator type, training procedure, evaluation metrics, feature-question meanings, or a fixed split. The eight class names are preserved in the dataset, including source spelling. This is a research/project artifact and is not validated for agricultural decisions.