Machine Learning-based Optimal Crop Selection System In Smart Agriculture

This paper proposes an ML-based crop selection model based on weather conditions and soil parameters. The model uses LSTM RNN for weather analysis and Random Forest Classifier for crop selection. The model showed better results for weather prediction than ANN and 97.235% accuracy for crop selection. The authors also suggested future research direction to further improve this work.