Agriculture: the economics of every field, calculated in detail.
A precision agriculture software firm now sees what each of its customers' fields earns and costs, and tracks their productivity in real time.
Knowing what each field earns and what it costs.
The problem
The firm had to bring together a large number of very different sources: structured, semi-structured and unstructured data, both internal and external.
As long as that data stayed separate, it could not calculate the economics of each of its customers' fields.
We connected these sources into a common data lake, synced into one place.
- Internal applications
- Public APIs
- Geospatial APIs
- Machinery GPS
- Economic data (CSV)
- Producer data
We agreed with the firm on the agricultural definitions used to track a field, down to each operation.
- Field
- Operation
- Producer
- Crop type
On that context, we delivered applications and an analytics solution for the firm and its customers.
- Customer application → We helped the firm build the application it offers its customers, on the same data.
- Field economics → What each field earns and what it costs, calculated at a very fine level.
- Real-time productivity The firm tracks the productivity of its customers' fields in real time.
Results
The firm sees what each of its customers' fields earns and costs, at a very fine level, and tracks their productivity in real time.
Tell us about your agricultural data.
Tell us which data you want to bring together and what you want to calculate. We'll start there.