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Dissertation 4.9

Precision Agriculture Adoption in Agritech Startups: Data Quality And Bias — Post-Pandemic Lessons

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Marketing Cold Chain Cloud
Abstract

This dissertation investigates “Precision Agriculture Adoption in Agritech Startups: Data Quality And Bias — Post-Pandemic Lessons” using a qualitative grounded theory. Through a economic lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Precision Agriculture Adoption in Agritech Startups: Data Quality And Bias — Post-Pandemic Lessons

ABSTRACT
Precision Agriculture Adoption in Agritech Startups: Data Quality And Bias — Post-Pandemic Lessons is unpacked across themes: change enablement, risks, equity, and scalability. Limitations and future research paths are noted.
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