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Case Study 4.5

Natural Language Processing for Agritech Startups: Policy And Regulation | Post-Pandemic Lessons

40
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APA
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~ 42–59 mins
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Epidemiology Psychology AR/VR
Abstract

This case study investigates “Natural Language Processing for Agritech Startups: Policy And Regulation | Post-Pandemic Lessons” using a event study methodology. Through a institutional lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Natural Language Processing for Agritech Startups: Policy And Regulation | Post-Pandemic Lessons

ABSTRACT
Natural Language Processing for Agritech Startups: Policy And Regulation | Post-Pandemic Lessons is unpacked across themes: interoperability, KPIs, benefits, and governance. Limitations and future research paths are noted.
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