Assessing Sirex noctilio Fabricius (Hymenoptera: Siricidae) damage in pine plantations using remote sensing and predictive machine learning models.

ABSTRACT.- Early detection and monitoring of invasive forest pests are crucial for effective pest management, particularly in preventing large-scale damage, reducing eradication costs, and improving overall control effectiveness. This study investigates the potential of machine learning models and r...

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Bibliographic Details

Main Author:	HIRIGOYEN, A. (author)
Other Authors:	VILLACIDE, J. (author)
Format:	article
Language:	English
Published:	2025
Subjects:	Random forest Plantation forest Tree health assessment Large-scale pest surveillance Damage classification SISTEMA FORESTAL - INIA
Online Access:	https://ainfo.inia.uy/consulta/busca?b=pc&id=65059&biblioteca=vazio&busca=65059&qFacets=65059
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