Cherries

Cherry harvest, measured to the gram.

Dataphyll Grow captures every kilogram picked, links it to the picker who picked it, and pays on performance — through the short, intense weeks that decide a cherry season.

Dataphyll in the orchard
The problem

A cherry harvest is short, and every day of it is expensive.

Pickers are in short supply, the window is measured in weeks, and quality is judged on arrival at the other end of the world. Paper dockets and end-of-week reconciliation tell you what went wrong long after you could have fixed it. Dataphyll Grow gives you the numbers while the fruit is still on the tree.

What you get with Dataphyll Grow.

Piece-rate harvesting

Electronic piece-rate capture, accurate to the gram, linked to the worker who picked it.

Timesheets and breaks

Sign workers on and off individually or as a crew. Breaks and top-ups are recorded as they happen.

Quality at the source

Reject rates trace back to the row and the picker, so supervisors can coach the same day.

Tasks and blocks

Assign and manage orchard tasks from any device, and see the cost of each block as work happens.

Payroll integrations

Hours and picked weights flow through to PayHero and Agrismart. No re-keying, no paperwork.

Real-time reporting

Production, yield and labour cost while the harvest is still running, not weeks after it.

Questions growers ask.

Does it work with piece rates and minimum wage top-ups?

Yes. Hours and picked weights are captured together, so top-ups to minimum wage are calculated correctly and shown on the payslip alongside kilograms picked.

How much does it disrupt the pick?

Very little. Each worker carries a tag, the supervisor scans to sign them on, and a runner weighs full crates at the field station. Pickers can also use the worker app to self-manage and see live feedback on what they have picked and what they will earn, which builds trust through transparency.

Can we see reject rates by picker?

Quality information entered during grading traces back to the row and the worker, so supervisors can coach the same day rather than the next season.

"Data-driven decision making is key for us now. With the data we collected last year, we can forecast how many pickers, crew leaders, and scanners we'll need for the next season – we have access to that data, and it's helping us plan ahead."
FP Frank Penaloza People & Capability Manager
CherryHill Orchards
Free guide

Incentivising your seasonal workforce

Ways to lift the productivity of a seasonal team while managing costs, and to build a crew that comes back year after year. Share a few details and the guide is yours, no obligation.

Dataphyll guide cover

See it running on a cherry block.

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