Digital Resources
Welcome to my Digital Resources section! π
Letβs take a quick look to the latest updates on my digital tools projects.
R packages 
Open-access software promoting the reproducibility of data processing and analysis
Shinyapps 
Web interfaces designed to facilitate the implementation of my packages, and to translate my research into decision-support tools.
Harvard Dataverse 
Data and codes publicly available
GitHub repositories
Tutorials - 
A series of recorded sessions sharing programming codes applied to agriculture.
AgHackathon 2023 | Acessing Weahter Data with R
Tidy data analysis
Split-plot design and repeated measures cases using linear mixed models in R:
AgrometR
Open code designed for gathering and processing data from digitized weather databases (e.g. daymet, NASAPOWER, CHIRPS):
Machine learning
Regression trees, random forest, and conditional random forest for crop yield forecast: