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Dissertation 4.8

Computer Vision Adoption in Agritech Startups: Cost–Benefit Analysis — A Comparative Perspective

13
Pages
Harvard
Style
~ 13–21 mins
Reading Time
Logistics Sustainability Esports
Abstract

This dissertation investigates “Computer Vision Adoption in Agritech Startups: Cost–Benefit Analysis — A Comparative Perspective” using a topic modeling on open datasets. Through a behavioral lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

Computer Vision Adoption in Agritech Startups: Cost–Benefit Analysis — A Comparative Perspective

ABSTRACT
Computer Vision Adoption in Agritech Startups: Cost–Benefit Analysis — A Comparative Perspective is unpacked across themes: governance, costs, usability, and equity. Limitations and future research paths are noted.
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