Action Against Hunger
Agricultural decision-support platform. Data-driven crop and livestock planning, localised for Ethiopia.
The
challenge
An agricultural planning model built for the Netherlands had to be adapted to Ethiopia’s environment, economy and farming realities, then put in a form farmers could use.
Yaltopia Tech worked with Action Against Hunger to develop a digital agricultural decision-support platform that helps farmers choose the best crops to plant and livestock to raise, based on seasonal conditions, available resources and individual farm circumstances.
The solution adapted and localised a planning model originally developed in the Netherlands. Its recommendations helped farmers plan production cycles, reduce risk and make informed decisions, supporting more resilient livelihoods.
How we
did it
Farmers often plan with fragmented information about soil, weather, prices and good practice, and small planting decisions have a large effect on yield and income. Action Against Hunger had a proven agricultural planning model, but it was built for the Netherlands and had to be adapted to Ethiopia’s environment, economy and farming realities.
Our approach
We began by reviewing the original model, then localised it: seasons, prices and conditions were re-fitted to Ethiopia.
On top of the model we built a decision-support platform. Each farm gets a profile of its land and resources, and the platform recommends which crops to plant and which livestock to raise, and when, taking seasonal risk into account. Instead of reading long reports, farmers see recommendations tied to their own situation. The platform was field-tested before deployment.
The outcome
Farmers can plan production cycles, reduce risk and make better-informed decisions, which supports more resilient livelihoods. The project also shows how local data can power digital agriculture tools in Ethiopia.
Better planting decisions, farm by farm.
- 01
Localised model
Action Against Hunger / Seasons, prices and conditions re-fitted to Ethiopia.
- 02
Farm profiles
Action Against Hunger / Recommendations tuned to each farm’s land and resources.
- 03
Crop & livestock plans
Action Against Hunger / What to grow and raise, and when.
- 04
Risk awareness
Action Against Hunger / Plans that account for seasonal risk.
Impact in numbers. What Action Against Hunger looks like today.
1
Planning model localised from the Netherlands
2.4K
Farmers using recommendations (projected)
2
Domains: crops and livestock
Figures marked projected are illustrative estimates.
Recommendations by type.
- 46%
46%
Cereal crops
Teff, maize, wheat and sorghum plans.
- 28%
28%
Livestock
Herd size and feed planning.
- 26%
26%
Pulses & vegetables
Rotation and cash-crop options.
Projected mix of recommendations generated. Replace with platform data.
Farmers planning with data.
Projected farmers receiving recommendations each month.
Peak 2.4K · Aug 24
ProjectedProjection. Replace with platform analytics. Projected — illustrative, replace with live analytics.
| Period | Value |
|---|---|
| Sep 23 | 0 |
| Oct 23 | 65 |
| Nov 23 | 171 |
| Dec 23 | 330 |
| Jan 24 | 577 |
| Feb 24 | 865 |
| Mar 24 | 1259 |
| Apr 24 | 1567 |
| May 24 | 1818 |
| Jun 24 | 2159 |
| Jul 24 | 2352 |
| Aug 24 | 2400 |
The road to Action Against Hunger.
Model review
Phase 1
Localise
Phase 1
Build
Phase 2
Field test
Phase 2
Deploy
Phase 3
Where it's used.
- Ethiopia
- Netherlands
Designed and engineered by Yaltopia Tech in Addis Ababa.
Action Against Hunger
Get in touch
Private deployment.
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