Dynamic ensemble-based machine learning models for predicting pest populations
Ankit Kumar Singh,
Md Yeasin,
Ranjit Kumar Paul
et al.
Abstract:Early prediction of pest occurrences can enhance crop production, reduce input costs, and minimize environmental damage. Advances in machine learning algorithms facilitate the development of efficient pest alert systems. Furthermore, ensemble algorithms help in the utilization of several models rather than being dependent on a single model. This study introduces a dynamic ensemble model with absolute log error (ALE) and logistic error functions using four machine learning models—artificial neural networks (ANN… Show more
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