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Author

E.Nithyakala

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Conference Jul 2026

Multi-Criteria AI System for Crop and Fertilizer Prediction

The significance of this research is the improvement of the forecasting precision for crop and fertilizer, and it specifically compares the performance difference between the Random Forest and LightGBM models. The study is conducted based on a Kaggle agricultural dataset comprising 10,000 records, where much informatio...

E.Nithyakala, P. Vignesh, P.Kalyanasundaram et al. · 0 citations
Conference Jul 2026

CatBoost-based Soil Health Monitoring and Fertilizer Application Optimization

The aim of this research is to develop soil health prediction model and to compare the performance of XGBoost with the proposed algorithm, CatBoost, in enhancing fertilizer application decisions. The two groups evaluated the dataset. Group 1 used XGBoost tuned for its hyperparameters, while Group 2 used CatBoost that f...

N.Prakash, M.Kavinandhini, K.Jeevitha et al. · 0 citations

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