View Full Paper

Owner Consent Verified
Case Study 4.9

Computer Vision for Agritech Startups: Human Factors And Usability | Evidence from UK & Ireland

33
Pages
Harvard
Style
~ 35–49 mins
Reading Time
Public Policy Health Governance
Abstract

This case study investigates “Computer Vision for Agritech Startups: Human Factors And Usability | Evidence from UK & Ireland” using a survey-based structural equation modeling. Through a economic lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

Download PDF Order Similar Paper Save

Computer Vision for Agritech Startups: Human Factors And Usability | Evidence from UK & Ireland

ABSTRACT
Computer Vision for Agritech Startups: Human Factors And Usability | Evidence from UK & Ireland is unpacked across themes: interoperability, scalability, security, and costs. Limitations and future research paths are noted.
1
Open full preview
Related Papers
Browse all
10 Pages 4.2
Explainable AI and Privacy And Security among Rural Communities — Post-Pandemic Lessons
DEI InsurTech Public Policy
View Paper
23 Pages 4.4
MLOps and Privacy And Security among Mobile Money Users — 2024–2028 Trends
Supply Chain Marketing Tourism
View Paper
11 Pages 4.7
Circular Economy for Regulated Utilities: Data Quality And Bias | Evidence from Benelux
Marketing Metaverse IoT
View Paper