CROPIA - Harvest Operations Dashboard
Data Analyst & Full-Stack Developer
CROPIA is a data tool I built to run the picking operation of a 400+ tonne strawberry farm: tracking harvest volumes and picker productivity across a 50+ person seasonal team, with forecasting to project end-of-season output and feed planting decisions for the following year.
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The Challenge
I was managing the operation, and spreadsheets and Notion could not keep up with the volume of daily harvest and labour data. The goal was to centralise that data, make it queryable, and forecast where the season was heading, so planning stopped relying on manual tallies.
Daily picking produced a lot of data (volumes per picker, per plot, per day, plus labour) spread across disconnected spreadsheets. There was no quick way to see who was productive, how each plot was yielding, or where the season would land.
The Approach
- •Built a Python pipeline (Pandas, NumPy) to ingest and clean daily harvest and labour records
- •Modelled and stored the data in SQL so it could be queried instead of re-entered
- •Built a React interface to visualise picker productivity and per-plot yields across the season
- •Added forecasting to project end-of-season volumes from in-season picking data
Deliverables
- •A central data model for harvest, labour and yield data
- •Dashboards tracking picker productivity and per-plot yield across the season
- •Forecasts of end-of-season volume
The Impact
- •Replaced manual spreadsheet tracking with a single queryable system
- •Gives in-season visibility into picker productivity and per-plot yields that was not available before
- •In its first season, the yield data is starting to inform planting decisions for the next year: identifying which plots and varieties performed well to guide what gets replanted
Lessons Learned
Building this is what convinced me that operational problems are often data problems. It moved me from running operations to wanting to build the systems behind them, which is the direction I am taking now.
_live site
Visit the website_client
Self-initiated (Ets Brajon)
_industry
Agriculture / Food production
_work
Data Pipeline
Data Modelling
Forecasting
Dashboard Development
_date
March 2026 - Present