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Solution architecture

Agriculture & field

Research and solution design

Solution design for multi-source field data. Connects satellite observations, sensors, samples and measurements while retaining location, time, units and method context.

Information foundation
Satellite, sensor, sample and field observations
Operational outcome
Area-based measurement and reporting inputs
Human responsibility
Expert assessment of methods and findings

Inside the application

Application workflow

Selected use cases, source information and operational outputs.

Observations and measurements together

Wide-area observations and on-site measurements answer different questions.

Agriculture & fieldScenario / 01
Interface conceptSchematic example

Multi-source field data

Schematic field, not a real location
Satellite observation
Sensor series
Field sample
Shared context
Decision boundary

Expert assessment of methods and findings

  • Satellite, sensor, sample and field observations
OutputArea-based measurement and reporting inputs

Make data quality visible

Calibration, missing periods and deviations are checked.

Agriculture & fieldScenario / 02
Interface conceptSchematic example

Comparable data

Information fieldControl
TimeSource format
UnitShared representation
Measurement methodTransformation rule
Quality checkHuman review
Decision boundary

Expert assessment of methods and findings

  • Satellite, sensor, sample and field observations
OutputArea-based measurement and reporting inputs

Connected to Nöbet research

Tracing soil, water and emissions data through a process is also a focus of Nöbet.

Agriculture & fieldScenario / 03
Interface conceptSchematic example

Field research

Observation record
Location
Nöbet scope
Expert review

Connections represent shared sources or relationships, not sequential processing steps.

Decision boundary

Expert assessment of methods and findings

  • Satellite, sensor, sample and field observations
OutputArea-based measurement and reporting inputs

Application approach

Scope and operating approach.

The scope, operating approach and boundaries of this work.

01

Observations and measurements together

Wide-area observations and on-site measurements answer different questions. Location, period, units and methods are preserved so they can be considered together.

02

Make data quality visible

Calibration, missing periods and deviations are checked. Uncertain records go to expert review; approved data can support reporting.

03

Connected to Nöbet research

Tracing soil, water and emissions data through a process is also a focus of Nöbet. Application and reporting scope depend on field methods and available data.

In everyday work

Shared field information across different scales

Satellite observations, sensor records and on-site samples do not answer the same question in the same way. This approach explores making data usable for processes and reporting without erasing those differences.

Agriculture & field / Working modelIllustrative use · no real customer data
Agriculture & fieldInterface design concept
Solution architecture

Shared field information across different scales

Fictional sample data
01Field sources
Satellite, sensor, sample and field observations
Data typesSatellite · sensor · sample
ComparisonSame period and method
Specialist decisionPermitted use of the measurement
02Data quality
Data typesSatellite · sensor · sample
ComparisonSame period and method
Specialist decisionPermitted use of the measurement
Example data continuity
Period 1RecordedPeriod 2RecordedPeriod 3RecordedPeriod 4MissingPeriod 5RecordedPeriod 6Recorded

A missing interval is not filled as a completed measurement.

03Reporting input
Illustrative review state

Expert assessment of methods and findings

Calibration, gaps and deviations are checked. Uncertain records are not absorbed into one comparison before specialist review.

OutputArea-based measurement and reporting inputs
Use the numbered areas to read component explanations. This is a product design concept; available scope follows the development status above.
Field sources

Observations and measurements together

This component shows incoming information together with its identity and provenance. Location, period, units and method stay with the source. Wide-area observations remain distinct from point measurements.

Data quality

Make data quality visible

This component explains how records are reviewed rather than displaying a result in isolation. Calibration, gaps and deviations are checked. Uncertain records are not absorbed into one comparison before specialist review.

Reporting input

Connected to Nöbet research

This component distinguishes the user’s decision from the next work record. Validated data informs area-based assessment and reporting. Available data determines delivery scope, while Nöbet contributes research on process traceability.

The whole operation

Information, decisions and outcomes stay connected.

These distinctions show the information the application receives, where it needs the user and what it leaves for the next operation.

Starting information
Satellite, sensor, sample and field observations
Human decision
Expert assessment of methods and findings
Resulting structure
Area-based measurement and reporting inputs

How do we assess its impact?

These are evaluation dimensions, not measured performance results. Comparisons use the same task types, data scope and human-review conditions.

  • Period and unit compatibility
  • Missing-data visibility
  • Specialist review needs

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