Simple Crop Yield Predictor

Hewan Demissie Degu

The Problem

Agronomists and students need quick, transparent ways to explore how rainfall and soil type affect yield.

The Solution

Interactive Shiny app
User selects crop, soil, rainfall
App returns yield estimate + plot

Demo (with R code)

```{r} crop_base <- c(Sorghum = 1200, Maize = 1500, Barley = 1000) soil_bonus <- c(Sandy = -150, Loam = 100, Clay = 50) beta_rain <- c(Sorghum = 0.8, Maize = 1.0, Barley = 0.6)

predict_yield <- function(crop=“Sorghum”, soil=“Loam”, rain=750) { round(crop_base[[crop]] + soil_bonus[[soil]] + beta_rain[[crop]] * rain, 0) }

predict_yield(“Sorghum”, “Loam”, 750)

🟢 Step 3. Render your slides

In RStudio, click the Render button (blue arrow at the top).
This will generate an HTML slide deck you can step through in your browser.

🟢 Step 4. Publish

You can publish Quarto presentations to RPubs (via RStudio’s Publish button) or to GitHub Pages.
For RPubs: click Publish in RStudio → choose RPubs → copy the link.
For GitHub Pages: push the rendered HTML to a gh-pages branch.

✅ This satisfies your assignment’s requirement: 5 slides, embedded R code, hosted online.