Abstract

This research presents a machine learning-powered seasonal crop mapping system that optimizes agricultural decision-making by analyzing soil parameters, climate conditions, and crop suitability…

Keywords

Machine Learning, Crop Mapping, Seasonal Crops, Agriculture, Decision Tree, SVM, Rainfall Prediction, Crop Recommendation

Conclusion

By integrating advanced machine learning techniques, this system helps farmers make informed decisions, improving resource management and agricultural sustainability…

References

1. IEEE Study on Machine Learning for Crop Mapping
2. Springer – Advances in Agricultural Machine Learning