Agrisemantics promises improved interoperability, traceability and analytics in food and agriculture, yet adoption remains limited. This study reports 28 semi-structured interviews and a survey of 76 practitioners, analyzed thematically to identify organizational, financial, technical and cultural factors shaping uptake. Key barriers include decision-maker resistance, internal gatekeeping, limited tools, data heterogeneity and shortages of skilled personnel, with additional constraints in less developed countries. Drivers include provenance, traceability, digitalization, regulation and individual champions. The study contributes an empirically grounded account of adoption and recommends incentive alignment, stronger governance and enhanced tooling and training to support sustainable Agrisemantic infrastructure.
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Baker et al. (2025) studied this question.
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