Assessing <i>Sirex noctilio</i> Fabricius (Hymenoptera: Siricidae) Damage in Pine Plantations Using Remote Sensing and Predictive Machine Learning Models

Assessing <i>Sirex noctilio</i> Fabricius (Hymenoptera: Siricidae) Damage in Pine Plantations Using Remote Sensing and Predictive Machine Learning Models

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 remote sensi...

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Bibliographic Details
Main Authors: Andrés Hirigoyen, José Villacide
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Remote Sensing
Subjects:
random forest
plantation forest
tree health assessment
large-scale pest surveillance
damage classification
Online Access:https://www.mdpi.com/2072-4292/17/3/537
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