Climate-Smart Agriculture Using IoT-Enabled Machine Learning Recommendation

This repository contains raw and processed datasets, machine learning analysis outputs, figures, and supporting documentation associated with the manuscript titled: “Climate-Smart Agriculture Using IoT-Enabled Machine Learning Recommendation ”. The repository includes:- Raw crop recommendation dataset- Processed datasets used for model training/testing- Correlation matrix- Confusion matrix- Feature importance analysis- Machine learning model comparison results- Classification report- Machine learning implementation files The study applies machine learning techniques including KNN, SVM, Random Forest, and Gradient Boosting for crop recommendation in precision agriculture.