A comparative geospatial analysis of Sifra potato yields across micro-climates in the Soutpansberg region, South Africa.
# The Sifra Paradox: Multi-Site Potato Yield Analysis
**A data-driven investigation into why Sifra potatoes failed in one season but excelled in the next.**
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## Executive Summary
A commercial potato producer in South Africa's Soutpansberg region experienced puzzling yield results: **complete failure** with the Sifra variety in 2024, followed by **excellent performance** in 2025. This project uses satellite imagery and remote sensing data to uncover the environmental factors behind this "Sifra Paradox."
### Key Findings
| Finding | Evidence |
|---------|----------|
| **Location matters most** | The North farm (Rain Shadow) consistently outperforms the South farm (Mist Belt) across all years |
| **Humidity is the culprit** | The 2024 failure coincides with the mist season (June-July), supporting late blight as a factor |
| **Recovery shows better timing** | 2025 success shows more sustainable growth patterns, suggesting improved seasonal timing |
### Recommendations
1. **Prioritize North farm for Sifra** — Lower disease pressure from drier conditions
2. **Use disease-resistant varieties in South** — High humidity favors fungal diseases
3. **Implement fungicide protocols May-July** — Target the critical mist season window
4. **Monitor with satellite NDVI** — Early stress detection enables rapid intervention
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## Project Context
### The Study Area
The Soutpansberg mountain range in Limpopo Province, South Africa creates two distinct micro-climates:
| Location | Climate Type | Characteristics |
|----------|--------------|-----------------|
| **South Farm** | Mist Belt | Higher humidity, cooler temperatures, frequent fog |
| **North Farm** | Rain Shadow | Drier conditions, warmer nights, more sunlight |
**Coordinates:**
- South Farm (Mist Belt): `-23.1148, 29.5100`
- North Farm (Rain Shadow): `-22.8111, 29.4217`
### The Question
> *Why did Sifra potatoes fail in 2024 but excel in 2025, despite similar management practices?*
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## Data Sources & …