Edentree: A web application for optimal rotation age analysis

Marcelo Vitor Gualberto Santos Chaves; Marcelo Lourençoni Pauletti; Samuel José Silva Soares da Rocha; Lucas Rezende Gomide; Carolina Souza Jarochinski e Silva

doi:10.53661/1806-9088202549263865

Authors

Marcelo Vitor Gualberto Santos Chaves Universidade Federal de Lavras, Programa de Pós-Graduação em Engenharia Florestal, Lavras, MG, Brasil https://orcid.org/0009-0007-9460-0144
Marcelo Lourençoni Pauletti Universidade Federal de Lavras, Graduando em Engenharia Florestal, Lavras, MG, Brasil https://orcid.org/0009-0002-3242-3879
Samuel José Silva Soares da Rocha Universidade Federal de Lavras, Departamento de Ciências Florestais, Lavras, MG, Brasil https://orcid.org/0000-0001-6686-1936
Lucas Rezende Gomide Universidade Federal de Lavras, Departamento de Ciências Florestais, Lavras, MG, Brasil https://orcid.org/0000-0002-4781-0428
Carolina Souza Jarochinski e Silva Universidade Federal de Lavras, Departamento de Ciências Florestais, Lavras, MG, Brasil https://orcid.org/0000-0003-1545-1536

DOI:

https://doi.org/10.53661/1806-9088202549263865

Keywords:

Shiny, R, Forestry sector, Financial viability

Abstract

The R/Shiny package is a tool that allows the creation of interactive web applications, transforming complex analyses into accessible interfaces. In the forestry sector, Shiny’s potential is still little explored, despite its applications in areas such as forest inventory, fire monitoring, LiDAR data analysis, and biomass and carbon estimates in Brazilian forests. This tool has been adopted by researchers and companies for its ability to generate interactive statistical reports and dashboards, contributing to data visualization and supporting forestry decision-making. From this, the objective of this research was to develop a web application in R/Shiny for the forestry field that, through the calculation of biological and financial indicators, would assist the user in making decisions regarding their forestry project. The main packages used to create the web application interface were: Shiny, bs4Dash, and golem, which offer pre-built functionalities and allow the application to be developed with less effort. For validation, data from a Eucalyptus urograndis forest plantation in Alagoinhas, Bahia, collected in 2021, were used, along with Microsoft Excel and Planin® software. As a result, a functional and online web application was obtained for the forestry field, with satisfactory performance in the validation stages, meeting the established criteria. Thus, the developed tool can contribute to support decision-making during the planning and management of forest plantations.

Keywords: Shiny; R; Forestry sector; Financial viability