Machine Learning in the Hyperspectral Classification of <i>Glycaspis brimblecombei</i> (Hemiptera Psyllidae) Attack Severity in Eucalyptus

Machine Learning in the Hyperspectral Classification of <i>Glycaspis brimblecombei</i> (Hemiptera Psyllidae) Attack Severity in Eucalyptus

Assessing different levels of red gum lerp psyllid (<i>Glycaspis brimblecombei</i>) can influence the hyperspectral reflectance of leaves in different ways due to changes in chlorophyll. In order to classify these levels, the use of machine learning (ML) algorithms can help process the d...

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Bibliographic Details
Main Authors: Gabriella Silva de Gregori, Elisângela de Souza Loureiro, Luis Gustavo Amorim Pessoa, Gileno Brito de Azevedo, Glauce Taís de Oliveira Sousa Azevedo, Dthenifer Cordeiro Santana, Izabela Cristina de Oliveira, João Lucas Gouveia de Oliveira, Larissa Pereira Ribeiro Teodoro, Fábio Henrique Rojo Baio, Carlos Antonio da Silva Junior, Paulo Eduardo Teodoro, Luciano Shozo Shiratsuchi
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Remote Sensing
Subjects:
pest monitoring
artificial intelligence
support vector machine
logistic regression
remote sensing
Online Access:https://www.mdpi.com/2072-4292/15/24/5657

Internet

https://www.mdpi.com/2072-4292/15/24/5657

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