Crop Yield Prediction Using Different Techniques of Machine Learning for Prayagraj Region

Puntos clave

• Predictions of crop yield using various machine learning techniques reveal significant insights.
• Key metrics indicate improved accuracy rates of up to 85% across different algorithms.
• Utilizing regression algorithms and data analysis, diverse models were implemented for prediction.
• This analysis may enable better farming strategies, improving food security in the region.