Opening Statement
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General Problem
The broad adoption of precision agriculture (PA) is still limited by a lack of hardware/software systems interoperability.
The ADAPT project is attempting to address this issue by proposing a unified field operations object model that satisfies data requirements contributed by participating stakeholders.
Current trends in sustainability, traceability, and compliance reporting demand an ever-increasing amount of data be gathered as part of everyday operations in modern production agriculture.
Specific requirements for what data is collected, how often, and in what format are constantly evolving and highly geo-political context dependent.
This makes fulfilling all the requirements for a unified object model a moving target, unless it is possible to decouple the infrequent and frequently changing aspects.
The relatively static core components of the ADAPT framework are minimalist in nature, but contain placeholders for attaching Context Items (which are provided by a dynamic, data-driven system).
This same approach can be used to graft additional, sematically-rich data onto objects from other data models such as ISO 11783-10.
Specific Problem
Can include here the material about conflicting sets of requirements. The PPT can be found HERE.
The need for the unified object model to remain generic enough to be accepted from an international perspective, but still be able to support the capture & communication of region-specific data necessary to support the business processes associated with field operations.
The need for data to be expressed in a controlled vocabulary so that everyone can understand what it means, but reality forces that controlled vocabulary to be continually changing to support the dynamic nature of data requirements.
General Goal (of the paper)
Demonstrate the proposed Context Item system as a method for
Specific Objectives (of the paper)
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Section Breakout
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