Government & Public SectorMachine LearningPublic Cloud

DEFRA and Natural England Use Databricks to Accelerate Peatland Restoration with AI

DEFRA / Natural England· United KingdomAgent Bricks

DEFRA, working with Natural England and Databricks, uses AI to accelerate peatland mapping across England. Tasks that previously took a week of manual work can now be completed in less than a day, saving weeks or months of effort each year. Automating the mapping of peatlands and restoration features supports protection of habitats that store carbon, support biodiversity, and provide drinking water, advancing nature recovery at a national scale.

Overview

DEFRA, working with Natural England and Databricks, uses AI to accelerate peatland mapping across England. Tasks that previously took a week of manual work can now be completed in less than a day, saving weeks or months of effort each year. Automating the mapping of peatlands and restoration features supports protection of habitats that store carbon, support biodiversity, and provide drinking water, advancing nature recovery at a national scale.

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The challenge

Manually mapping peatlands and restoration features across England was slow: tasks that once took a week of manual work can now be completed in less than a day.

The solution

Working with Natural England and Databricks, DEFRA is using AI to accelerate peatland mapping across England, automating the mapping of peatlands and restoration features on the Databricks Data + AI Platform using Agent Bricks.

Machine Learning

Reported business value

Tasks that once took a week of manual work can now be completed in less than a day, saving weeks or even months each year, helping protect critical habitats that store carbon, support biodiversity and provide drinking water.

Sources

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This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)

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