Hyperspectral imaging–based assessment of fresh meat quality: Progress and applications DOI
Kyung Jo, Seonmin Lee, Seul-Ki-Chan Jeong

et al.

Microchemical Journal, Journal Year: 2023, Volume and Issue: 197, P. 109785 - 109785

Published: Dec. 9, 2023

Language: Английский

Exploring the role of green and Industry 4.0 technologies in achieving sustainable development goals in food sectors DOI
Abdo Hassoun, Miguel A. Prieto, María Carpena

et al.

Food Research International, Journal Year: 2022, Volume and Issue: 162, P. 112068 - 112068

Published: Oct. 20, 2022

Language: Английский

Citations

149

AI in education: A review of personalized learning and educational technology DOI Creative Commons

Oyebola Olusola Ayeni,

Nancy Mohd Al Hamad,

Onyebuchi Nneamaka Chisom

et al.

GSC Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 18(2), P. 261 - 271

Published: Feb. 20, 2024

The integration of Artificial Intelligence (AI) in education has ushered a transformative era, redefining traditional teaching and learning methods. This review explores the multifaceted role AI education, with particular focus on personalized educational technology. synergy between promises to address individualized needs, enhance student engagement, optimize outcomes. Personalized learning, enabled by algorithms, tailors experiences unique preferences, pace each student. approach goes beyond one-size-fits-all model, fostering more inclusive effective environment. delves into diverse applications AI-driven ranging from adaptive content delivery real-time feedback intelligent tutoring systems. It analyzes impact these technologies performance, highlighting potential narrow gaps cater styles. Educational technology, powered AI, extends classroom, encompassing online platforms, virtual reality, interactive tools. curriculum development, creation, assessment methods, offering insights how augment experience. Furthermore, examines automating administrative tasks, allowing educators redirect their towards instruction. Challenges ethical considerations associated adoption are also scrutinized. Privacy concerns, algorithmic biases, digital divide discussed, emphasizing importance responsible implementation. underscores need for collaborative efforts among educators, policymakers, technologists establish guidelines ensure equitable distribution AI-enhanced resources. provides comprehensive examination evolving landscape spotlight As symbiosis continues evolve, this synthesis current research trends aims guide future developments, an informed progressive sphere.

Language: Английский

Citations

96

Fermentation for Designing Innovative Plant-Based Meat and Dairy Alternatives DOI Creative Commons
Fatma Boukid, Abdo Hassoun, Ahmed Zouari

et al.

Foods, Journal Year: 2023, Volume and Issue: 12(5), P. 1005 - 1005

Published: Feb. 27, 2023

Fermentation was traditionally used all over the world, having preservation of plant and animal foods as a primary role. Owing to rise dairy meat alternatives, fermentation is booming an effective technology improve sensory, nutritional, functional profiles new generation plant-based products. This article intends review market landscape fermented products with focus on alternatives. contributes improving organoleptic properties nutritional profile Precision provides more opportunities for manufacturers deliver meat/dairy-like experience. Seizing that progress digitalization offering would boost production high-value ingredients such enzymes, fats, proteins, vitamins. Innovative technologies 3D printing could be post-processing solution following in order mimic structure texture conventional

Language: Английский

Citations

55

The Application of Artificial Intelligence and Big Data in the Food Industry DOI Creative Commons
Haohan Ding,

Jiawei Tian,

Wei Yu

et al.

Foods, Journal Year: 2023, Volume and Issue: 12(24), P. 4511 - 4511

Published: Dec. 18, 2023

Over the past few decades, food industry has undergone revolutionary changes due to impacts of globalization, technological advancements, and ever-evolving consumer demands. Artificial intelligence (AI) big data have become pivotal in strengthening safety, production, marketing. With continuous evolution AI technology analytics, is poised embrace further developmental opportunities. An increasing number enterprises will leverage enhance product quality, meet needs, propel toward a more intelligent sustainable future. This review delves into applications sector, examining their on risk management, insights. Furthermore, advent Industry 4.0 applied brought fore technologies such as smart agriculture, robotic farming, drones, 3D printing, digital twins; also faces challenges production development going forward. articulates current state industry, analyses encountered, discusses viable solutions. Lastly, it outlines future trends industry.

Language: Английский

Citations

52

Internet of Things in food processing and its potential in Industry 4.0 era: A review DOI
Harsh Dadhaneeya, Prabhat K. Nema, Vinkel Kumar Arora

et al.

Trends in Food Science & Technology, Journal Year: 2023, Volume and Issue: 139, P. 104109 - 104109

Published: July 12, 2023

Language: Английский

Citations

43

Digital transformation in the agri-food industry: recent applications and the role of the COVID-19 pandemic DOI Creative Commons
Abdo Hassoun, H.J.P. Marvin, Yamine Bouzembrak

et al.

Frontiers in Sustainable Food Systems, Journal Year: 2023, Volume and Issue: 7

Published: July 18, 2023

Providing food has become more complex because of climate change and other environmental societal stressors, such as political instability, the growth in world population, outbreaks new diseases, especially COVID-19 pandemic. In response to these challenges, agri-food industry increased its efforts shift using digital tools advanced technologies. The transition toward been part fourth industrial revolution (called Industry 4.0) innovations that have are reshaping most industries. This literature review discusses potential implementing technologies industry, focusing heavily on role pandemic fostering adoption greater digitalization supply chains. Examples use for various applications, barriers challenges will be highlighted. trend solutions gained momentum since advent 4.0 implementations accelerated by outbreak Important technology enablers high mitigating negative effects both current global health crisis systems include artificial intelligence, big data, Internet Things, blockchain, smart sensors, robotics, twins, virtual augmented reality. However, much remains done fully harness power achieve widespread implementation agriculture

Language: Английский

Citations

40

Applications of hyperspectral imaging technology in the food industry DOI
Da‐Wen Sun, Hongbin Pu, Jingxiao Yu

et al.

Nature Reviews Electrical Engineering, Journal Year: 2024, Volume and Issue: 1(4), P. 251 - 263

Published: March 26, 2024

Language: Английский

Citations

24

Advanced detection tools in food fraud: A systematic review for holistic and rational detection method based on research and patents DOI Creative Commons

Annadurai Vinothkanna,

Owias Iqbal Dar,

Zhu Liu

et al.

Food Chemistry, Journal Year: 2024, Volume and Issue: 446, P. 138893 - 138893

Published: March 1, 2024

Modern food chain supply management necessitates the dire need for mitigating fraud and adulterations. This holistic review addresses different advanced detection technologies coupled with chemometrics to identify various types of adulterated foods. The data on research, patent systematic analyses (2018-2023) revealed both destructive non-destructive methods demarcate a rational approach in countries. These intricate hygiene standards AI-based technology are also summarized further prospective research. Chemometrics or techniques extensive demanded. A assessment reveals that detect involving multiple substances be simple, expeditious, precise, cost-effective, eco-friendly non-intrusive. scrutiny resulted 39 relevant experimental sets answering key questions. However, additional research is necessitated an affirmative conclusion system modern AI machine learning approaches.

Language: Английский

Citations

15

Emerging trends in the agri-food sector: Digitalisation and shift to plant-based diets DOI Creative Commons
Abdo Hassoun, Fatma Boukid, Antonella Pasqualone

et al.

Current Research in Food Science, Journal Year: 2022, Volume and Issue: 5, P. 2261 - 2269

Published: Jan. 1, 2022

Our planet is currently facing unprecedented interconnected environmental, societal, and economic dilemmas due to climate change, the outbreak of pandemics wars, among others. These global challenges pose direct threats food security safety clearly show urgent need for innovative scientific solutions technological approaches. Backed by current alarming situation, many food-related trends have emerged in recent years response these issues. This review looks at two megatrends agriculture industry; shift vegetable diets digital transformation production consumption patterns. On one side, several technologies protein sources been associated with more sustainable systems enhanced nutritional quality safety. other advanced (e.g., artificial intelligence, big data, Internet Things, blockchain, 3D printing) increasingly applied smart farms factories improve system outcomes. Increasing adoption vegetal innovations harnessing Industry 4.0 along supply chain potential enable efficient ecological transitions.

Language: Английский

Citations

58

Implementation of relevant fourth industrial revolution innovations across the supply chain of fruits and vegetables: A short update on Traceability 4.0 DOI Creative Commons
Abdo Hassoun, Senem Kamiloğlu, Guillermo Garcia‐Garcia

et al.

Food Chemistry, Journal Year: 2022, Volume and Issue: 409, P. 135303 - 135303

Published: Dec. 23, 2022

Food Traceability 4.0 refers to the application of fourth industrial revolution (or Industry 4.0) technologies ensure food authenticity, safety, and high quality. Growing interest in traceability has led development a wide range chemical, biomolecular, isotopic, chromatographic, spectroscopic methods with varied performance success rates. This review will give an update on fruits vegetables sector, focusing relevant enablers, especially Artificial Intelligence, Internet Things, blockchain, Big Data. The results show that significant potential improve quality safety many vegetables, enhance transparency, reduce costs recalls, decrease waste loss. However, due their implementation lack adaptability environments, most these advanced have not yet gone beyond laboratory scale. Therefore, further research is anticipated overcome current limitations for large-scale applications.

Language: Английский

Citations

57