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Dissertation ⭐ 4.4

Artificial Intelligence for Agritech Startups: Interoperability | 2020–2026 Trends

31 pages IEEE style ~7–13 mins read
  • Public Policy
  • Education
  • NLP

Abstract

This dissertation investigates “Artificial Intelligence for Agritech Startups: Interoperability | 2020–2026 Trends” using a event study methodology. Through a economic lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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