What challenges did Rabobank face before AI implementation?

Difficulty tracking and verifying carbon sequestration on thousands of small farms Farmers lack access to carbon-credit markets due to manual processes Increasing frequency of climate-related crop failures in coffee regions Fragmented data sources make large-scale sustainability projects challenging

What was the impact of the AI solution?

Enabled 7,300 producers in Colombia and Peru to participate in climate-smart coffee initiatives Transformed 36,000+ hectares to climate-smart agroforestry practices Provided new revenue streams to smallholder farmers through carbon credit sales Improved farm resilience and biodiversity in the Coffee Triangle region

Source

MicrosoftExpanded

Rabobank's AI-Driven Climate Sustainability Initiative

Use case typeSustainability analyticsUpdated Jun 13, 2026

Rabobank partnered with Microsoft Azure to create a scalable, global platform to address climate sustainability through agroforestry. The platform supports Solidaridad's 'Coffee of the Future' initiative in Colombia, transforming traditional coffee farms into carbon-sequestration systems. The solution employs AI and machine learning on the Azure Cloud to analyze data, measure carbon dioxide metrics, and integrate farmers into carbon-credit markets.

Organization: Rabobank
Industry: Finance
Location: Netherlands
Published: September 2021

Reported outcomes

Strategic outcomes

New business modelConnected farmers to carbon-credit marketsNew product / capabilityBuilt AI carbon tracking platformScale & capacityEnabled digital verification at scaleCustomer experience & trustImproved farm resilience and biodiversity

Primary read

Use case focus

Showing 3 of 5

1AI-driven measurement of carbon sequestration on coffee farms
2Automated integration of smallholder farmers into global carbon-credit markets
3Machine learning to analyze and predict agroforestry climate impact

Difficulty tracking and verifying carbon sequestration on thousands of small farms
Farmers lack access to carbon-credit markets due to manual processes
Increasing frequency of climate-related crop failures in coffee regions
Fragmented data sources make large-scale sustainability projects challenging

Developed an Azure AI and ML-powered platform to track carbon sequestration
Automated data analysis for measuring and reporting CO2 removal
Connected farmers directly to corporations for carbon credit sales via the platform
Enabled digital verification of sustainable practices at scale

Technologies

Azure AI Azure ML

Enabled 7,300 producers in Colombia and Peru to participate in climate-smart coffee initiatives
Transformed 36,000+ hectares to climate-smart agroforestry practices
Provided new revenue streams to smallholder farmers through carbon credit sales
Improved farm resilience and biodiversity in the Coffee Triangle region

Implementation partners1

Solidaridad

Sources & evidence1

ExpandedExpanded

The same organization appears in newer AI deployment evidence.