Compare course imagery, thermal data, weather, and work history from every site in one place, captured on a regular schedule. Meissa Green builds the evidence a turf research team needs to review growth trends, get input rates right, and advise the field with confidence.
Remote site analysis
Compare scheduled capture data to find the areas that changed and the spots where change is continuing. Narrow down the sites and locations that need a look, and set your technical support priorities from there.
Time-series change analysis
Review daily imagery alongside vegetation index and thermal data to see quickly which areas differ from the record. Compare the same location week over week, month over month, and year over year to judge recurring problems and how recovery is going.
Sound input decisions
Review weather trends, growth condition, and recent fertilizer, chemical, and irrigation records together. Use them as the basis for deciding what to apply and when, given the conditions you actually have.
Standardized data
Bring the different spreadsheets, daily and monthly reports, and work histories from each site onto one common standard. Even when staff change, the records stay searchable and comparable for new analysis and technical advice.
With your data connected in one place, you can follow everything from a change on the course to the result after maintenance.
Operations insight
What the Daejung Golf MOU says about the digital shift in course management
Operations insight
Data keeps piling up, so why do operating standards never stick?
Customer story
How a golf course and its outsourced management team see the same screen
Operations insight
A GDD-based guide to growth regulator application