Crop Disease Detection using Machine Learning

Developed a machine learning model to detect crop diseases from leaf features, classifying healthy vs diseased crops to enable early intervention

:Steps

Image preprocessing and feature extraction

Trained models using Random Forest and Decision Tree classifiers

Evaluated performance using accuracy score and confusion matrix

Impact: Helps farmers quickly identify diseases and reduce crop loss