Authors:

Autumn Denny

Date Created:

Not specified

Course Title:

Professor:

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About Paper:

The World Wide Web has experienced an explosion of available data within the past couple of decades. As more digital technologies are being used in agriculture to fight global climate challenges, there has been an increasing need for open-source software and accepted data models for crop and resource management. However, there exists a lack of standards that pertain to modeling agricultural data and developing software platforms for data sharing between institutions and groups. Computational ontologies, i.e., formal, machine- readable representations of knowledge within a domain, provide a starting point for data modeling. The Plant Data Service will use ontological representations of crop-related knowledge as standards to serve findable, accessible, interoperable, and retrievable plant data to promote sustainability efforts. Through the application of conceptual modeling techniques during development, the Plant Data Service is designed to be easily understood by humans and machines alike. Future efforts will be explored to expand the scope of the Plant Data Service's available crop data.

Source:

Purdue University / 2023

Topics:

No topics listed

Co-authors:

Autumn Denny