Terra Suite
One data layer. The full value chain, made legible.
Terra Suite is AIDA's data and intelligence platform for West African food supply chains. Five integrated tools share a single data infrastructure and a single design principle: every system generates information that can be acted on, in real time, in local languages, without requiring infrastructure that does not yet exist.
The tools
Terra Harvest
AgriculturePost-Harvest Intelligence
Most storage loss in Africa is invisible until it is complete. Terra Harvest makes it visible. IoT sensors monitor temperature, humidity, CO₂, and ethylene levels continuously. When conditions approach spoilage thresholds, alerts reach farmers via SMS, WhatsApp, or dashboard. In local languages. On low-bandwidth connections. Up to 72 hours before the loss becomes unavoidable.
Terra Flow
IntelligenceSupply Chain Intelligence
Supply chains do not fail all at once. They fail in predictable sequences that no one is watching. Terra Flow watches them. Its models integrate operations data, market flows, and macroeconomic indicators to forecast where, when, and why inefficiency will occur. The carbon cost is calculated alongside the economic one.
Terra Impact
CapacityCapacity and Digital Infrastructure
Technology that farmers cannot operate is not useful. AIDA trains farming communities in digital recordkeeping, predictive tool use, and data literacy. In local languages, designed for the contexts farmers actually work in. Every session generates ground-truth data that refines the models used next season.
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 real field conditions, intelligence trained on that data, and tools that reach farmers before the loss becomes unavoidable.
Phase I: Research and Evidence
Sensor deployments in storage facilities. Field research across value chains. Documentation of what farming communities in Ghana know about their land, crops, and climate: knowledge no satellite is calibrated to capture. Every system is offline-capable, multilingual, and calibrated on locally-collected data.
Phase II: Intelligence
Where data becomes prediction. Machine learning models trained on locally-collected field data. Spoilage risk algorithms calibrated to African storage conditions. Supply chain models built from real West African market flows. The intelligence layer does not replace what farmers know. It extends it.
Phase III: Impact
Alerts reach farmers before the loss happens. Supply chain intelligence reaches aggregators while there is still time to reroute. Communities are trained in the tools they will use. Carbon outcomes from reduced food loss are quantified, verified, and connected to climate finance. The impact is not assumed. It is tracked.
What the intelligence shows
YieldCast is an interactive data dashboard covering crop yield anomalies, climate signals, and supply chain patterns across Sub-Saharan Africa, made explorable in a single view.
This is the exploration layer. The operational platform follows: live spoilage alerts, supply chain monitoring, and farmer-facing tools.
By 2030
AIDA measures its work against five targets.
farming households and agribusiness operators trained in digital tools and data recordkeeping across AIDA's pilot communities in Ghana
reduction in post-harvest loss at storage facilities where AIDA monitoring systems are deployed, measured against pre-deployment baseline
reduction in greenhouse gas emissions from food loss across supply chains where AIDA data systems operate
formal data-sharing agreements with governments and agribusinesses in Ghana
in agricultural and climate investment mobilised through AIDA's data layer and carbon accounting infrastructure
Each target is tracked annually.
Why Africa's food system is the world's problem
The emissions from food lost in African supply chains do not stay in Africa.
Sub-Saharan Africa has the highest post-harvest loss rate of any region globally, losing approximately one-fifth of all food produced before it reaches a consumer. Food loss and waste account for 8–10% of annual global greenhouse gas emissions, at a combined cost of around USD 1 trillion per year. The food lost in African storage facilities and supply chains is a significant part of both figures.
The economic loss compounds food insecurity across a region feeding rapidly urbanising populations. These consequences do not stay regional.
The infrastructure that connects storage conditions, supply chain signals, and climate indicators in real time has not yet been built. No single organisation builds it. It requires governments, agribusinesses, development partners, and data agreements across the value chain. AIDA is building the intelligence layer that makes it coherent.