Collecting Farm Data at Scale
Collecting field level data across a large network of farms required a move away from spreadsheets and email, towards a structured system that enables consistent submission, validation, and real-time visibility.

THE PROBLEM
A research organisation needed to collect in-season data from farms across England.
Their existing approach relied on a mix of spreadsheets, forms, and email submissions.
This created several issues:
Data was inconsistent and difficult to validate
Farmers experienced different formats and processes
There was no clear visibility of who had completed submissions
Reporting required manual consolidation
As the programme expanded to include a larger network of farms, these challenges became harder to manage.
THE REQUIREMENT
A simple, mobile-friendly way for farmers to submit data
A centralised system to store and validate responses
Visibility across a network of participating farms
A secure, authenticated environment
A system that could scale as the programme expands
THE APPROACH
A structured data collection workflow was implemented using YAGRO Exchange.
Surveys are configured to match the programme requirements
Farmers submit data through a mobile-friendly interface
Submissions are validated and stored in a central system
Progress is tracked in real time across all participating farms
Communications are managed through built-in email functionality
The system is designed and deployed within a one-month window, aligned to seasonal programme timelines.
Exchange replaces disconnected tools with a single, controlled environment for data collection and review
THE OUTCOME
One platform replaces spreadsheets, forms, and email
Farmers submit data more consistently, from any device
Programme managers can track participation in real time
Data validation becomes structured and repeatable
Reporting is significantly faster to produce and easier to spot trends and insights
The organisation retains full control over workflows and communication
THE IMPACT
Data collection moved from:
fragmented to structured
manual to validated
unclear to visible
The result was not more data, but usable data.




