This time of year, the campus feels quiet and lifeless as students have yet to return. Yet, the beauty of Viçosa's campus remains vibrant, and I look forward to seeing these sidewalks bustling with life next week.

Machine learning in plant disease diagnosis: are we getting there?

www.linkedin.com/posts/emerso...

Here is the link for our R Shiny dashboard
edelponte.shinyapps.io/FGSCdb/

Wheat blast is a severe yield-damaging disease. We developed weather-based prediction models based on data collected in Brazil. We built a Shiny app that uses nasa power data via {nasapower}. Note that predictions were not evaluated outside Brazil.
epidemiologiaufv.shinyapps.io/wheatblast/

To celebrate the one-year anniversary 🎂 of my online book R for Plant Disease Epidemiology (R4PDE), I’m excited to announce the addition of two new chapters: one on remote sensing and another on disease modeling.
r4pde.net

The first attempt in our journal was this one. Repro editors first for a few manuscripts.