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...
| Published in: | Frontiers in Applied Mathematics and Statistics |
|---|---|
| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-12-01
|
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fams.2024.1435517/full |
