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 is a technology and data intelligence company building the data layer for Africa's food supply chains. AIDA's systems make post-harvest loss predictable before it happens, and measurable after it doesn't.
In West Africa, an estimated 26.9% of all food is lost between the farm and the retail market. A major cause of this loss, and where AIDA is focused, is the absence of the right information at the right moment: visibility into what is happening inside storage facilities, early warning when supply chains are under stress, and a shared picture between the farmer and the buyer. The data and technology that would enable this already exists. It lives in sensors, satellites, and in the knowledge systems of farmers who have worked the same land for generations. It has never been connected.
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.
Sub-Saharan Africa loses approximately one-fifth of all food produced. Not to drought or crop failure, but to information gaps that were never closed. Closing them requires evidence grounded in actual field conditions, intelligence trained on that data, and tools that reach farmers before the loss becomes unavoidable.
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
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.