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N.Prakash

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Conference Jul 2026

Machine Learning-based Performance Evaluation of XGBoost Compared with KNN and MLP for Local Water Quality Assessment

This study seeks to create a smart water quality analysis system with machine learning to help accurately evaluate the state of the local water bodies and solve the issue of low prediction accuracy. Three machine learning models were tested in the given study. Group 1 used the K-Nearest Neighbour (KNN) algorithm to pre...

N.Prakash, Sakthi Aravind P, P. Anitha 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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