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Bem-vindo! Este repositório reúne código, dados e relatórios associados ao processo de automação da inserção de ensaios de mandioca (Manihot esculenta) na plataforma CassavaBase, em colaboração com a EMBRAPA Mandioca e Fruticultura.
O objetivo é padronizar, organizar e gerar arquivos de saída compatíveis com o sistema, garantindo eficiência, consistência e reprodutibilidade no fluxo de dados experimentais.
Este trabalho faz parte do Projeto de Pesquisa:
Este projeto foi desenvolvido no âmbito das pesquisas da EMBRAPA Mandioca e Fruticultura, especializada em melhoramento genético, manejo e inovação tecnológica para a cultura da mandioca, com foco em agricultura sustentável e digital.
.xls prontos para
importação na CassavaBase.
Clone o repositório:
git clone https://github.com/wevertongomescosta/cassavabaseembrapa.gitInstale as dependências no R:
install.packages(c("tidyverse", "readxl", "writexl", "stringr"))Execute o pipeline principal (analysis/index.Rmd) no
RStudio.
Os arquivos de saída serão gerados automaticamente na pasta
output/.
Contribuições são bem-vindas mediante:
- Abertura de issues para discussão de melhorias
- Submissão de pull requests para correções críticas
- Sugestões de extensões metodológicas
Este trabalho está licenciado sob CC BY-NC-SA
4.0.
Para uso comercial ou modificações significativas, contate os
autores.
Coordenador
Eder Jorge de Oliveira
Pesquisador – EMBRAPA Mandioca e Fruticultura
eder.oliveira@embrapa.br
Pós-Doutorando
Weverton Gomes da Costa
Pós-Doutorando – EMBRAPA Mandioca e Fruticultura
wevertonufv@gmail.com
EMBRAPA Mandioca e Fruticultura:
https://www.embrapa.br/mandioca-e-fruticultura
Welcome! This repository contains code, data, and reports related to the automation of cassava (Manihot esculenta) trial insertion into the CassavaBase platform, in collaboration with EMBRAPA Cassava and Fruits.
The goal is to standardize, organize, and generate output files compatible with the system, ensuring efficiency, consistency, and reproducibility in the experimental data workflow.
This work is part of the Research Project:
This project was developed within the research activities of EMBRAPA Cassava and Fruits, a research unit specialized in cassava breeding, management, and technological innovation, with a focus on sustainable and digital agriculture.
.xls files ready for import
into CassavaBase.
Clone the repository:
git clone https://github.com/wevertongomescosta/cassavabaseembrapa.gitInstall dependencies in R:
install.packages(c("tidyverse", "readxl", "writexl", "stringr"))Run the main pipeline (analysis/index.Rmd) in
RStudio.
Output files will be automatically generated in the
output/ folder.
Contributions are welcome via:
- Opening issues for improvement discussions
- Submitting pull requests for critical fixes
- Suggesting methodological extensions
This work is licensed under CC BY-NC-SA
4.0.
For commercial use or significant modifications, please contact the
authors.
Project Coordinator
Eder Jorge de Oliveira
Researcher – EMBRAPA Cassava and Fruits
eder.oliveira@embrapa.br
Postdoctoral Researcher
Weverton Gomes da Costa
Postdoctoral Researcher – EMBRAPA Cassava and Fruits
wevertonufv@gmail.com
EMBRAPA Cassava and Fruits:
https://www.embrapa.br/mandioca-e-fruticultura
sessionInfo()
R version 4.5.1 (2025-06-13 ucrt)
Platform: x86_64-w64-mingw32/x64
Running under: Windows 11 x64 (build 26100)
Matrix products: default
LAPACK version 3.12.1
locale:
[1] LC_COLLATE=Portuguese_Brazil.utf8 LC_CTYPE=Portuguese_Brazil.utf8
[3] LC_MONETARY=Portuguese_Brazil.utf8 LC_NUMERIC=C
[5] LC_TIME=Portuguese_Brazil.utf8
time zone: America/Sao_Paulo
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] vctrs_0.6.5 cli_3.6.5 knitr_1.50 rlang_1.1.6
[5] xfun_0.53 stringi_1.8.7 promises_1.3.3 jsonlite_2.0.0
[9] workflowr_1.7.2 glue_1.8.0 rprojroot_2.1.1 git2r_0.36.2
[13] htmltools_0.5.8.1 httpuv_1.6.16 sass_0.4.10 rmarkdown_2.29
[17] evaluate_1.0.5 jquerylib_0.1.4 tibble_3.3.0 fastmap_1.2.0
[21] yaml_2.3.10 lifecycle_1.0.4 whisker_0.4.1 stringr_1.5.2
[25] compiler_4.5.1 fs_1.6.6 Rcpp_1.1.0 pkgconfig_2.0.3
[29] rstudioapi_0.17.1 later_1.4.4 digest_0.6.37 R6_2.6.1
[33] pillar_1.11.1 magrittr_2.0.4 bslib_0.9.0 tools_4.5.1
[37] cachem_1.1.0
Weverton Gomes da Costa, Pós-Doutorando – EMBRAPA Mandioca e Fruticultura, wevertonufv@gmail.com↩︎