Agriculture

Digital agriculture from the farm gate to the export market.

Agriculture employs more people in Africa than any other sector and produces the least data per dollar. Agri-tech companies and cooperatives that collect it, from input credit to harvest to export compliance, are building some of the continent's most valuable datasets. The platforms behind them need to be cheap, offline-tolerant and ready for AI advisory in local languages.

Talk to a sector lead

Sector practice

Delivered under our AWS AI, Data & Analytics, Migration and Modernization and DevOps Competencies.

Largest employer

agriculture remains the biggest source of livelihoods across Sub-Saharan Africa

Source: World Bank

Swahili LLMs

open models such as UlizaLlama show the pattern for farmer advisory in local languages

Source: Jacaranda Health

Traceability

export markets increasingly require digital provenance for produce

Source: EU deforestation and traceability rules

What we hear

The pressures agriculture leaders describe to us.

Farmers reachable only through SMS, USSD and agents
Credit risk assessment without formal financial records
Export traceability and certification demands
Weather and price volatility
Thin margins that rule out expensive technology

Use cases

What we build for agriculture on AWS.

Farmer platforms and agent networks

Registration, input distribution and payments across USSD, SMS and apps.

AWS: AWS Lambda, Amazon DynamoDB, Amazon Pinpoint

Agri-credit scoring

Models using satellite, weather and transaction data with explainability.

AWS: Amazon SageMaker, AWS Lake Formation

Advisory assistants in local languages

SMS and voice assistants grounded in agronomic guidance.

AWS: Amazon Bedrock, Amazon Polly

Traceability and supply chain

Batch-level provenance from cooperative to port.

AWS: Amazon QLDB patterns on Amazon Aurora, AWS IoT Core

Geospatial analytics

Satellite imagery pipelines for yield estimation and crop monitoring.

AWS: Amazon SageMaker geospatial, Amazon S3

Regulation and residency

Designed within the rules.

Farmer data is personal data. We build consent, data minimisation and benefit-sharing into platforms from the start, aligned with national data protection law and emerging agricultural data guidelines.

Services

How we deliver it.

AI and Agentic AI

AI agents that reach production, not just the pilot.

Data and Analytics

The data foundation your AI strategy is waiting for.

Software Engineering

Software built for the way your market actually uses it.

Questions

Common questions

Can AI advisory work over SMS?

Yes. We design assistants that produce concise, structured responses suitable for SMS and USSD, with voice via Amazon Polly where needed, and we evaluate them in Swahili and other local languages.

Next step

Talk to our agriculture team.

We will share the relevant reference architecture, the compliance map for your country, and whether an AWS program could help offset the cost.