Development of an AR-Based Application for Training of Warehouse Operators

Grandi, Fabio; Prati, Elisa; Mangia, Giancarlo; Peruzzini, Margherita

doi:10.1007/978-3-031-38274-1_11

Lecture Notes in Networks and Systems

2023

DOI: 10.1007/978-3-031-38274-1_11

|View full text |Cite

Development of an AR-Based Application for Training of Warehouse Operators

Fabio Grandi

Elisa Prati

Giancarlo Mangia

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Innovative food supply chain through spatial computing technologies: A review

Ma,

Jia,

Gao

et al. 2024

Comp Rev Food Sci Food Safe

View full text Add to dashboard Cite

The global food supply chain faces significant challenges related to inefficiencies, quality variability, and traceability issues, all of which contribute to food waste and consumer distrust. Spatial computing (SC) technologies, including augmented reality (AR), virtual reality (VR), and digital twins, offer promising solutions by enhancing precision agriculture, logistics, manufacturing, and retail operations. This review explores SC's potential across the entire food supply continuum, emphasizing improvements in resource management, supply chain transparency, and consumer engagement. Despite its promise, the widespread adoption of SC is limited by technical challenges and a lack of standardized protocols. The findings suggest that while SC has the potential to revolutionize the food supply chain by improving sustainability, efficiency, and safety, further interdisciplinary research and collaboration are essential to fully unlock its capabilities.

show abstract

Innovative food supply chain through spatial computing technologies: A review

Ma,

Jia,

Gao

et al. 2024

Comp Rev Food Sci Food Safe

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Development of an AR-Based Application for Training of Warehouse Operators

Cited by 1 publication

References 15 publications

Innovative food supply chain through spatial computing technologies: A review

Innovative food supply chain through spatial computing technologies: A review

Contact Info

Product

Resources

About