ArticleFoods (Basel, Switzerland)2021
Application Research: Big Data in Food Industry.
Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- How big data analytics can strengthen large-scale food fortification and biofortification decision-making: A scoping review.Annals of the New York Academy of Sciences · 2025Article
- Big data analytics in food industry: a state-of-the-art literature review.NPJ science of food · 2025Review
- Advances in cell-based biosensors: Transforming food flavor evaluation with novel approaches.Food chemistry: X · 2025Review
- Applications of Big Data and Blockchain Technology in Food Testing and Their Exploration on Educational Reform.Foods (Basel, Switzerland) · 2024Review
- Unveiling Digital Transformation: A Catalyst for Enhancing Food Security and Achieving Sustainable Development Goals at the European Union Level.Foods (Basel, Switzerland) · 2024Article
- Research agenda for using artificial intelligence in health governance: interpretive scoping review and framework.BioData mining · 2023Article
- Online Reputation for Food Sector Exporters in the B2B Context: The Importance of Sustainability.Foods (Basel, Switzerland) · 2023Article
- Machine Learning Approaches for Predicting Fatty Acid Classes in Popular US Snacks Using NHANES Data.Nutrients · 2023Article
- Special Issue "Innovations in the Food System: Exploring the Future of Food".Foods (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
A huge amount of data is being produced in the food industry, but the application of big data-regulatory, food enterprise, and food-related media data-is still in its infancy. Each data source has the potential to develop the food industry, and big data has broad application prospects in areas like social co-governance, exploit of consumption markets, quantitative production, new dishes, take-out services, precise nutrition and health management. However, there are urgent problems in technology, health and sustainable development that need to be solved to enable the application of big data to the food industry.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.