๐ŸŒพ Empowering Local Farmers with Data - KaPaN

Nov 6, 2023ยท
Figarri Keisha
Figarri Keisha
ยท 2 min read
Image credit: Unsplash

Extreme weather is inevitable, but crop failure doesnโ€™t have to be.

๐Ÿ† Regional Recognition at the United Nations Datathon 2023

As Team 4SKA1, we were honored to be selected as The Best Team in the Asian Region at the United Nations Datathon 2023. This global competition challenged participants to develop innovative data-driven applications combining geospatial and statistical data to advance the Sustainable Development Goals (SDGs).

๐Ÿšœ The Problem: Climate Uncertainty Meets Agriculture

Farmers in West Java, one of Indonesiaโ€™s major rice-producing regions, are increasingly vulnerable to extreme weather events, such as droughts, floods, and irregular rainfall. These threats can severely disrupt food supply and jeopardize farmersโ€™ livelihoods.

Despite the urgency, many farmers lack access to early and localized information to prepare for such risks.

๐Ÿ’ก The Solution: KaPaN

We proposed KaPaN (Kalender Padi Nusantara - Nusantara Rice Calendar), a prototype website that serves as an early warning system for extreme weather, tailored specifically for local farmers.

KaPaN empowers users to:

  • Track when and how long extreme weather is forecasted in their area
  • Visualize the spatial extent of weather anomalies
  • Report and share real-time ground-level information with fellow farmers

The name โ€œKaPaNโ€ (Indonesian for โ€œWhen?โ€) reflects our goal to answer farmers’ biggest question when facing uncertainty.

๐Ÿ”ฌ The Method: Extreme Value Analysis

We used Extreme Value Analysis (EVA) (specifically the Block Maxima method) to analyze rare and high-impact events such as intense rainfall and drought.

With the help of Python and the pyextremes library, we simulated thresholds for extreme conditions and provided early warnings that farmers can act on.

๐ŸŒ Accessible, Actionable, and Community-Driven

The KaPaN platform is designed to be:

  • User-friendly: intuitive dashboard tailored for farmers
  • Insightful: visualizations help interpret trends over time and across regions
  • Collaborative: enables farmers to contribute ground-level observations

๐Ÿ“‚ Learn More

๐Ÿค Meet the Team โ€“ 4SKA1

We are a passionate group of data practitioners from Indonesia who believe in the power of data for local impact:

  • Bagoes Rahmat Widiarso
  • Bhaskoro Muthohar
  • Figarri Keisha
  • Muhammad Nassirudin

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