I'm Danillo Leite
Ph.D. candidate in Plant Pathology at Southern Illinois University Carbondale. I work on soybean stem and seed diseases, and I build tools that make field research data usable.
Background: 7+ years in field-based crop protection research and seed operations, including three years at Corteva Agriscience in Brazil and the U.S. I run multi-location field trials, seed health diagnostics, and molecular pathogen detection.
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Illinois Soybean Stem Disease Map — R Shiny app mapping fungal pathogen prevalence across 45 Illinois counties, with a climate correlation module. Live app
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Field Sprayer Calculator — R Shiny tool for sprayer calibration and tank mixing: boom width, GPA, travel speed, multi-product mixes.
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Soybean Stem Disease Favorability — Interactive 3D visualization of environmental and phenological favorability spaces for soybean stem diseases.
R · Shiny · leaflet · sf · ggplot2 · Python · JMP · ARM Research
Currently building a Python image-analysis tool for seed health and germination assessment in waterhemp.