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An AI-Driven Framework for Agricultural Data Interoperability Informed by Literature and Stakeholder Insights
This study examines AI-driven solutions for agricultural data interoperability through a combined empirical–theoretical approach, integrating stakeholder input with peer-reviewed research comprising two stakeholder workshops, one involving 28 participants and another involving 50 participa
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