project · 2023 · Solution Architect · Fraunhofer IESE

Smart Sensors in the Field: a John Deere Capstone

Solution architect for a Fraunhofer IESE capstone with John Deere: parsing soil-lab reports and correlating them with vehicle sensor data to calibrate and validate 'smart sensors in the field'.

Power BIPDF parsingData AnalysisPython

A capstone project at Fraunhofer IESE, associated with John Deere, where I worked as solution architect on the question behind precision agriculture: can the sensors on a vehicle be trusted against the lab?

Parse, correlate, validate

I designed and built a system to parse and analyse soil-lab reports with PDF parsers, then correlate them against sensor data from John Deere vehicles for calibration and validation, turning two very different data sources into one comparable picture.

Making it actionable

On top of that I built Power BI dashboards and data-analysis pipelines to visualize and assess how field-sensor data measured up against lab benchmarks, so the accuracy of “smart sensors in the field” became something you could see and act on rather than guess at.

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