Case study · Agriculture · Databricks

Turning tractor sensor data into predictive yield intelligence.

How Tenplus built a Databricks platform that turns raw tractor sensor data into actionable yield predictions for Hexagon Agriculture.

DatabricksMedallion architectureDelta LakePredictive modellingIoT sensor ingestion
Agriculture · Databricks
Raw tractor telemetry into real yield predictions.
Real timeField performance
PredictiveYield models
GlobalScalable fleets
Client background

Hexagon: a leader in geospatial and ag technology.

Hexagon is an industry leader in geospatial and agricultural technology, powering smart farming across multiple regions. They wanted to enhance their platform with advanced data and predictive capabilities using Databricks, turning tractor sensor data into actionable yield predictions.

At a glance
  • Smart farming solutions across multiple regions
  • A goal to add predictive yield capabilities
  • Support for current and future tractor sensors
The problem

Raw tractor data was hard to use for real insight.

Farming equipment generates huge volumes of data, from soil moisture and engine load to GPS and weather, but it was noisy and disconnected.

Data came from multiple sensors and formats, often incomplete or noisy.
Sensor data lived across local systems, files and disconnected scripts.
Without clean, structured data, yield models could not operate reliably.
No scalable way to analyse field performance.
Manual steps slowed insight; farmers needed simple, fast reports, not raw CSVs.
What they needed
  • A platform to collect, clean, analyse and predict in one system
  • Support for current and future tractor sensors
  • Reliable, structured data for predictive models
  • Simple, fast field reports
Solution overview

A complete Databricks platform for precision agriculture.

Tenplus designed and delivered a platform that ingests, structures and models sensor data, ready for new sources at any time.

1

Automated data ingestion

from many tractor and tool sensors.

2

Sensor data processing

cleaning and structuring noisy inputs.

3

Medallion architecture

Bronze to Silver to Gold, for reliable datasets.

4

Predictive modelling

turning clean data into yield predictions.

5

Analytics-ready reporting views

simple, fast field insight for farmers.

Built with DatabricksMedallion architectureDelta LakePredictive modellingIoT sensor ingestion
How we built it

From raw sensors to field-level intelligence.

1

Step 1Unified tractor sensor data collection

2

Step 2Processing data through the Databricks medallion architecture

3

Step 3Predictive modelling with Databricks

4

Step 4Real-time reporting and field insights

5

Step 5Automated monitoring and alerting

Results

A modern agriculture intelligence platform.

  • Real-time understanding of field performance as tractors operate.
  • Accurate yield predictions that help plan better and reduce risk.
  • Clean, unified sensor data that is easy to analyse.
  • Faster decisions with no manual data processing.
  • Better use of fuel, equipment and resources.
  • A scalable architecture ready for global operations and fleets.
★★★★★
Tenplus helped us bring advanced data and AI capabilities into our agriculture products. Databricks gave us the perfect platform for sensor analytics and yield prediction. The solution is fast, scalable and adds real value for our farming customers.
Engineering Manager · Hexagon Agriculture
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