This document discusses using AgriSchemas and schema.org to model and share interoperable agricultural data from sources like KnetMiner and DFW for use cases involving molecular biology, gene expression, literature, and experiments. AgriSchemas provides a way to formally represent heterogeneous agricultural data to support exploratory research and data integration/sharing according to FAIR principles. Examples show how gene, publication, experiment and other data from KnetMiner are modeled and made accessible via AgriSchemas and linked data formats. Ongoing work focuses on additional areas like host-pathogen interactions, weather data, and dataset metadata.
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