Eucalyptus growth recognition using machine learning methods and spectral variables

Author:

de Oliveira Bruno Rodrigues,da Silva Arlindo Ananias Pereira,Teodoro Larissa Pereira Ribeiro,de Azevedo Gileno Brito,Azevedo Glauce Taís de Oliveira Sousa,Baio Fábio Henrique Rojo,Sobrinho Renato Lustosa,da Silva Junior Carlos Antonio,Teodoro Paulo Eduardo

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Forestry

Reference50 articles.

1. Leaf trait variation is similar among genotypes of Eucalyptus camaldulensis from differing climates and arises in plastic responses to the seasons rather than water availability;Asao;New Phytol.,2020

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3. Chlorophyll fluorescence as a tool to identify drought stress in Acer genotypes;Banks;Environ. Exp. Bot.,2018

4. Shear strength of eucalyptus saligna wood joints bonded with polyvinyl acetate adhesive;Biazzon;BioResources,2019

5. The interactions of climate, spacing and genetics on clonal Eucalyptus plantations across Brazil and Uruguay;Binkley;For. Ecol. Manage.,2017

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