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Author

A.Yoganathan

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Conference Jul 2026

An LSTM-Driven Model for Accurate Agricultural Pest Risk Prediction

This research aims to build an effective predictive modeling system for agricultural pest risk using machine learning techniques and weather conditions. The study focuses on increasing prediction accuracy by checking deep learning models to help with timely and correct pest management decisions. In this research, we sa...

C. Kandasamy, B. Pradeepa, J. Kanimozhi 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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