Evidence map›Paper›PMID 39610261›Full record

ReviewComprehensive reviews in food science and food safety2024

Innovative food supply chain through spatial computing technologies: A review.

Peihua Ma, Xiaoxue Jia, Mairui Gao, Zicheng Yi, Shawn Tsai, Yiyang He, Dongyang Zhen, Ryan A Blaustein, Qin Wang, Cheng-I Wei and 2 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Comprehensive reviews in food science and food safety, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Emerging Technologies for Investigating Food Consumer Behavior: A Systematic Review.Comprehensive reviews in food science and food safety · 2025
    Pooled it
  2. Innovative food supply chain through spatial computing technologies: A review.Comprehensive reviews in food science and food safety · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Peihua MaDepartment of Nutrition and Food Science, College of Agriculture and Natural Resources, University of Maryland, College Park, Maryland, USA.ORCID 0000-0002-5041-0361
Xiaoxue JiaDepartment of Nutrition and Food Science, College of Agriculture and Natural Resources, University of Maryland, College Park, Maryland, USA.ORCID 0000-0002-4783-3777
Mairui GaoDepartment of Nutrition and Food Science, College of Agriculture and Natural Resources, University of Maryland, College Park, Maryland, USA.
Zicheng YiDepartment of Nutrition and Food Science, College of Agriculture and Natural Resources, University of Maryland, College Park, Maryland, USA.
Shawn TsaiBeltsville Agricultural Research Center, Agriculture Research Service, United States Department of Agriculture, Beltsville, Maryland, USA.
Yiyang HeDepartment of Nutrition and Food Science, College of Agriculture and Natural Resources, University of Maryland, College Park, Maryland, USA.
Dongyang ZhenDepartment of Civil and Environmental Engineering, A. James Clark School of Engineering, University of Maryland, College Park, Maryland, USA.
Ryan A BlausteinDepartment of Nutrition and Food Science, College of Agriculture and Natural Resources, University of Maryland, College Park, Maryland, USA.
Qin WangDepartment of Nutrition and Food Science, College of Agriculture and Natural Resources, University of Maryland, College Park, Maryland, USA.
Cheng-I WeiDepartment of Nutrition and Food Science, College of Agriculture and Natural Resources, University of Maryland, College Park, Maryland, USA.
Bei FanKey Laboratory of Agro-Products Processing, Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Beijing, China.
Fengzhong WangKey Laboratory of Agro-Products Processing, Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Beijing, China.

Funding

United Stated Department of Agriculture (USDA): National Institute of Food and Agriculture 2023-67022-40017
6 · The paper itself

Abstract

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.

Indexed as

Food SupplyAgricultureHumansVirtual Realityaugmented realitydigital twinfood supply chainspatial computingvirtual reality

Identifiers

PMID39610261
PMCPMC11605272

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.