Post-harvest loss rates across Sub-Saharan Africa, color-coded by severity. Cell size shows total crop production. ■ low (<10%) ■ moderate (10–18%) ■ high (18–25%) ■ very high (>25%). Grey areas have no measured loss data yet.
Tip: Click any cell to zoom in. Click the responsive header text to zoom out.
About
AIDA works on one problem: predicting food loss early enough to prevent it.
Between the farm and the retail market, West Africa loses 26.9% of the food it produces. The loss becomes visible at the end of the chain. It is decided much earlier, under conditions that are physical, measurable, and almost never measured.
We measure the chain from seed to market as one connected system, looking for where value is lost and which patterns come before spoilage. We turn those measurements into forecasts, then test whether they change decisions.
Terra Suite
One data layer. The full value chain, made legible.
Post-harvest food loss in West Africa is primarily an information problem. Crops leave the field intact. In storage, temperature and humidity drift past spoilage thresholds while no alert reaches the farmer and no decision is made. The loss accumulates before anyone has the information to act.
Closing that gap requires measurement from actual field conditions, models trained on that data, and alerts that reach an operator while intervention is still possible. We test each against whether it changes a decision, not whether it improves a score.
Field-First Intelligence
Most technologies built for agriculture assume conditions that do not exist across Ghana and West Africa. Rural connectivity is intermittent. Infrastructure is uneven. AIDA builds for the field as it actually is. The platform works offline by default, trained on locally generated agricultural data. Forecasts reach farmers via SMS and offline community channels. The delivery matches the infrastructure. Not the other way around.
Unified Operating Picture
Fragmentation is the primary barrier to a resilient food system When farmers see storage, aggregators see transport, and policymakers see prices, no one sees the full picture. The platform connects these views through shared data agreements and unified access. A spoilage alert reaches the farmer before loss is inevitable. A logistics bottleneck becomes visible to the aggregator while there is still time to act.
Intelligence grounded in indigenous knowledge
Farming communities across Ghana hold knowledge no external dataset has captured. Which soils retain moisture after a dry spell, where pest pressure appears first, how a specific valley responds to late-season rain. AIDA integrates this knowledge into the models trained on local data. Forecasts are localised into Twi, Fante, Hausa, and other languages farmers actually use. The system extends what farmers already know rather than replacing it.
Collaborative by Design
The data infrastructure a resilient food system needs cannot be built by one organization It requires agreements with governments and agribusinesses, partnerships with cooperatives, research collaboration with universities, and investment from institutions that understand agricultural impact and climate finance. Methodology is published openly. Field data is shared where agreements allow. The data layer grows more valuable as more of the value chain connects to it.
Partner with us
Technology for social good compounds when institutions share data and act on what it shows. AIDA works with agribusinesses, development finance institutions, government agencies, and research organizations across African food value chains.
Contributions of data, distribution, or field presence are welcome. For post-harvest loss research or climate finance engagements, the methodology is published and available to prospective partners.