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kenya-climate-data-lab

An open-source ML pipeline predicting maize yield in Kenya.

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GITHUB · launched Sep 21, 2026 · 17 upvotes (top 46%) · 0 views

Niche: environmental and geospatial analytics software · 124 launches, 14 in the last 7 days ▼ -7% · Explore this niche →

Category and tags

  • Agriculture
  • Analytics & BI
  • Developer
  • AI-native
  • Hobby / open-source project

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Could you build this?

Partial While an ML script combining public datasets can be orchestrated with AI assistance, building a rigorous geospatial and agrometeorological prediction model across 47 counties requires specialized domain knowledge in earth observation and remote sensing.

What it would actually take: The project requires an ETL pipeline ingesting raster data from CHIRPS (precipitation) and ERA5 (climate variables), spatially aggregating them to Kenyan administrative boundaries, and harmonizing with KNBS/FAO crop yield statistics. Hard parts include handling cloud cover/missing satellite data, spatial-temporal cross-validation to prevent leakage, and agronomic feature engineering (e.g., growing degree days, dry spells). A production implementation requires Python geospatial stacks (xarray, rioxarray, rasterio, geopandas) and ML frameworks like LightGBM or PyTorch.

Competitors

Other products that read as similar to this one : 266 launches clear the similarity bar, closest 8 shown.

Attention rank: #100 of 267 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 327 days after the earliest competitor.

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