Projects

Tools and analyses for digital agriculture, mostly open source. Each one started as a real problem in a field trial or a breeding program.

Featured

FielDHub

An R Shiny app and package for design of experiments: traditional, unreplicated, augmented and partially replicated (p-rep) designs for agriculture, plant breeding, forestry, animal and biological sciences.

R · Shiny · Experimental design · CRAN

Code Docs CRAN

More projects

Production system · client work

Satellite crop monitoring

The data backbone and forecasting API of a commercial crop-monitoring app: Python services ingest daily satellite imagery, vegetation indices (NDVI, NDRE, NDMI, RECI, MSAVI) and weather forecasts for each field, and an R Plumber API forecasts each index from crop growth curves and flags possible stress in corn and soybeans.

Python · R · Plumber · PostgreSQL · Google Cloud · Docker

Predictive modeling · write-up

Likelihood vs Accuracy

A simulation study, with a from-scratch REML implementation in base R, showing when a higher log-likelihood fails to give more accurate predictions of genotype effects in mixed models.

R · REML · Mixed models · Simulation

Write-up Code

Live app · nd-ag.didiermurillo.com

ND Agriculture KPIs

A dashboard of North Dakota agriculture: crops, livestock, economics, weather and county data from the state's annual agricultural report.

R · Shiny

Live app

Predictive modeling · write-up

PhenoGAMs

Generalized Additive Models for spatial trends and genotype effects in plant breeding trials, compared with a classical ASReml spatial model.

R · mgcv · ASReml

Write-up Code

More experiments and smaller things live on GitHub.