AgExplorer — Unlocking global agricultural sustainability insights

Background

In a world of increasing environmental scrutiny, agriculture stands at the heart of global emissions and sustainability challenges. To meet the growing need for transparent, scalable, and science-based agricultural insights, Mondra partnered with a leading agri-data company with a shared ambition to provide accessible data intelligence to support more sustainable decision making and planning for the agriculture and animal health industries.

The project united a global agricultural data provider and the Mondra product intelligence platform to create an advanced user experience for carbon and environmental modeling that enables policymakers, researchers, agribusinesses, and food system partners to understand, simulate, and compare agricultural impacts across geographies, crop types, and methodologies.

Scope of the Project

• Incorporate data from 80+ countries, across multiple crop types, production cycles, and farming rotations

• Deliver multi-level data granularity down to 1 km² resolution

• Combine agronomic, carbon, and sequestration metrics into a single integrated platform

• Support custom region modeling for project-specific estimates and insights

• Ability to extend the system to cover both crop and livestock data over time

Objectives

The project set out to:

• Combine comprehensive agricultural datasets with robust carbon and sequestration modeling

• Create a searchable, filterable global map interface covering thousands of data points.

• Enable comparisons across various calculation methodologies (e.g. CoolFarm Tool, COMET-Farm, GREET)

• Make results accessible, visual, and exportable for a wide range of use cases

• Provide a foundation for scalable delivery of sustainability data across crops, livestock, and geographies.

Approach & Methodology

The project applied a dual-expertise approach:

Agricultural Data Provider - Providing global reach, primary survey data, methodological diversity, subject-matter expertise.

Mondra Platform – Providing software design, geospatial visualization, carbon modeling, and user the experience architecture.

Core system capabilities included:

• Interactive global mapping by crop, country, and timeframe

• Unit conversion engine (e.g. per kg, per hectare, per yield)

• Methodology toggle to compare results using different carbon calculation tools

• Summary charts and dashboards to show emissions, removals, and net balance

• User admin controls for license provisioning and content access

Key Capabilities Delivered

Multi-resolution display - Data accessible at global, regional, national, and 1km² resolution

Methodology switching - Support for CoolFarm Tool, HESITA, COMET-Farm, GREET and others

Custom region selection - Users can draw and analyze project-specific geographies

Livestock data support - Platform expansion from crop-based to livestock carbon modeling

User-based licensing model - License administration via platform for both Mondra and partner’s customer ecosystems

Outcomes & Insights

• Global coverage, local precision: Users can browse environmental data for any crop, in any country, at 1 km² scale

• Consistent comparability: Methodology toggle allows users to benchmark differences across common modelling frameworks — critical for scientific, policy, and operational applications

• Commercial scalability: Two parallel product routes were created:

  
  

  • AgExplorer: Full-featured version available to crop-specific licensees via the Mondra platform and

  • A custom labelled Partner Solution made available to data provider clients

  
  

• Data activation: What was once complex survey data is now a fully interactive decision support interface — usable by analysts, policymakers, and researchers without GIS training.

Strategic Value

For the Agriculture Data Provider:

• Enabled transformation of static data assets into an engaging, user-centric SaaS solution — expanding value beyond reports to tools.

For the Mondra Platform:

• Dramatically expanded upstream environmental data fidelity, especially for Scope 3 and food system analysis.

For End Users:

• Delivered a multi-purpose interface for environmental modeling, scenario planning, compliance reporting, and sustainability strategy development.

Looking Ahead

The foundation laid by this collaboration permits future phases:

• Integration into carbon accounting tools - connecting outputs with PCF, LCA, and Scope 3 toolkits

• Wider stakeholder access - NGOs, policy teams, buyers, and climate bodies

• Deeper validation - benchmark dataset accuracy across climate zones and production systems

• Livestock refinement - add breed-specific data, methane estimation models, and regional feed impact

Conclusion

Through this partnership, agricultural and environmental data are no longer siloed. They’ve been brought together in one high-powered, intuitive platform that enables users across the food system to plan, compare, and act on the environmental performance of crops and livestock globally.