Dynamic ensemble-based machine learning models for predicting pest populations

Dynamic ensemble-based machine learning models for predicting pest populations

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 rath...

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Bibliographic Details
Main Authors: Ankit Kumar Singh, Md Yeasin, Ranjit Kumar Paul, A. K. Paul, Anita Sarkar
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Applied Mathematics and Statistics
Subjects:
accuracy
dynamic ensemble
machine learning
pest population
yellow stem borer
Online Access:https://www.frontiersin.org/articles/10.3389/fams.2024.1435517/full
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