ReviewFoods (Basel, Switzerland)2023
The Application of Artificial Intelligence and Big Data in the Food Industry.
Review in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled 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.
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
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 153 citations in OpenAlex.
- Pooled it
- Fermentation-driven valorization of cereal by-products: Mechanisms, functional applications, and emerging AI-assisted approaches.Food chemistry: X · 2026Review
- Psychology of Eating the Future: Consumer Acceptance, Digital Influence and Behavioral Drivers of Novel Foods.Foods (Basel, Switzerland) · 2026Review
- Artificial intelligence in food safety.NPJ science of food · 2026Review
- Temporal Screening of High-Risk Food Service Inspections in New York State, 2023-2025: A Case Study Using Multimodal Evidential Learning.Foods (Basel, Switzerland) · 2026Article
- Artificial Intelligence Across the Drug Development Lifecycle.Medical sciences (Basel, Switzerland) · 2026Review
- Cost-Cutting or Trust Building: Consumer Motive Inference and Purchase Intention Toward AI-Produced Food.Foods (Basel, Switzerland) · 2026Article
- Identifying systemic risks and mitigation strategies of artificial intelligence in agriculture: from social-technical-ecological systems framework.Frontiers in plant science · 2026Review
- Digital technologies for sustainable food supply chains: a scoping review of impacts on food safety, loss reduction, and implications for nutritional security.Frontiers in nutrition · 2026Review
- Validation of the Bahasa Malaysia Version of the General Attitudes Towards Artificial Intelligence Scale Among Academicians.The Malaysian journal of medical sciences : MJMS · 2025Article
- Integrated Ultra-Wideband Microwave System to Measure Composition Ratio Between Fat and Muscle in Multi-Species Tissue Types.Sensors (Basel, Switzerland) · 2025Article
- Redesigning Food Handler Training: A Gamified Approach Tested in Italy's Large-Scale Retail.Foods (Basel, Switzerland) · 2025Article
- The future of pharmaceuticals: Artificial intelligence in drug discovery and development.Journal of pharmaceutical analysis · 2025Review
- Breast-milk substitute marketing practices in four countries: an analysis using a community-based approach.Archives of public health = Archives belges de sante publique · 2025Article
- AI-enhanced bioprocess technologies: machine learning implementations from upstream to downstream operations.World journal of microbiology & biotechnology · 2025Review
- Application of Image Computing in Non-Destructive Detection of Chinese Cuisine.Foods (Basel, Switzerland) · 2025Review
- Conventional Near-Infrared Spectroscopy and Hyperspectral Imaging: Similarities, Differences, Advantages, and Limitations.Molecules (Basel, Switzerland) · 2025Review
- Technological Innovations and Circular Economy in the Valorization of Agri-Food By-Products: Advances, Challenges and Perspectives.Foods (Basel, Switzerland) · 2025Review
- Time-Shifted Maps for Industrial Data Analysis: Monitoring Production Processes and Predicting Undesirable Situations.Sensors (Basel, Switzerland) · 2025Article
- Application of Bioinformatics and Machine Learning Tools in Food Safety.Current nutrition reports · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
Abstract
Over the past few decades, the food industry has undergone revolutionary changes due to the impacts of globalization, technological advancements, and ever-evolving consumer demands. Artificial intelligence (AI) and big data have become pivotal in strengthening food safety, production, and marketing. With the continuous evolution of AI technology and big data analytics, the food industry is poised to embrace further changes and developmental opportunities. An increasing number of food enterprises will leverage AI and big data to enhance product quality, meet consumer needs, and propel the industry toward a more intelligent and sustainable future. This review delves into the applications of AI and big data in the food sector, examining their impacts on production, quality, safety, risk management, and consumer insights. Furthermore, the advent of Industry 4.0 applied to the food industry has brought to the fore technologies such as smart agriculture, robotic farming, drones, 3D printing, and digital twins; the food industry also faces challenges in smart production and sustainable development going forward. This review articulates the current state of AI and big data applications in the food industry, analyses the challenges encountered, and discusses viable solutions. Lastly, it outlines the future development trends in 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.