Unveiling the relationship between food unit operations and food industry 4.0: A short review DOI Creative Commons
Abdo Hassoun, Iman Dankar, Hina F. Bhat

и другие.

Heliyon, Год журнала: 2024, Номер 10(20), С. e39388 - e39388

Опубликована: Окт. 1, 2024

The fourth industrial revolution (Industry 4.0) is driving significant changes across multiple sectors, including the food industry. This review examines how Industry 4.0 technologies, such as smart sensors, artificial intelligence, robotics, and blockchain, among others, are transforming unit operations within sector. These operations, which include preparation, processing/transformation, preservation/stabilization, packaging transportation, crucial for converting raw materials into high-quality products. By incorporating advanced digital, physical, biological innovations, technologies enhancing precision, productivity, environmental responsibility in production. highlights innovative applications key findings that showcase these can streamline processes, minimize waste, improve product quality. adoption of innovations increasingly reshaping way prepared, transformed, preserved, packaged, transported to final consumer. work provides a valuable roadmap various sectors agriculture industries, promoting solutions enhance efficiency, quality, sustainability throughout entire supply chain.

Язык: Английский

Enhancing supply chain resilience and efficiency through internet of things integration: Challenges and opportunities DOI
Atefeh Shoomal, Mohammad Jahanbakht,

Paul J. Componation

и другие.

Internet of Things, Год журнала: 2024, Номер 27, С. 101324 - 101324

Опубликована: Авг. 8, 2024

Язык: Английский

Процитировано

12

Spatial-Temporal Variations and Driving Factors of the Coupling and Coordination Level of the Digital Economy and Sustainable Rural Development: A Case Study of China DOI Creative Commons

Wanxiang Nong,

Jun Wen,

Jingyue He

и другие.

Agriculture, Год журнала: 2024, Номер 14(6), С. 849 - 849

Опубликована: Май 29, 2024

Sustainable rural development forms a robust foundation for economic and social sustainability. Moreover, the digital economy acts as catalyst advancing sustainable by altering distribution of production factors. Thus, this study concentrates on 30 provinces in China, constructing an evaluation index system both development. The employs various methods models to analyze spatiotemporal changes driving factors affecting coupling coordination between these two aspects. research findings are follows: levels among China have been rise year year. By 2022, most range 0.5 0.6. Regional disparities primary determinant poor overall level China. In eastern region is 0.6663, compared 0.5420 central 0.5087 western region. Factors such urbanization, industrial structure transformation, technological innovation, higher education, development, government support significantly influence level. Nevertheless, their effects vary across regions, with more pronounced impact than regions. Therefore, paper proposes policy recommendations, including infrastructure optimization, digitization promotion, regional resource allocation enhancement, cross-regional mechanism exploration, differentiated strategy implementation.

Язык: Английский

Процитировано

8

The Digital Revolution in the Bakery Sector: Innovations, Challenges, and Opportunities from Industry 4.0 DOI Creative Commons
Tsega Y. Melesse, Pier Francesco Orrù

Foods, Год журнала: 2025, Номер 14(3), С. 526 - 526

Опубликована: Фев. 6, 2025

Industry 4.0 and digitalization are driving a major transformation in the bakery sector. This systematic review examines latest advancements digital technologies platforms within industry. Innovations such as robotics, automation, blockchain, wireless sensor networks currently revolutionizing operations by enhancing production efficiency, enabling real-time monitoring, ensuring product traceability. Additionally, improving customer interactions through e-commerce, personalized offerings, targeted marketing strategies. Digitalization is also contributing to waste reduction, quality control improvement, data-driven decision-making, leading optimized inventory management more efficient automation. These fostering stronger engagement, resulting cost savings increased profitability. However, sector faces several challenges, including resistance from companies adopt new technologies, high implementation costs, shortage of expertise, concerns about preserving artisanal quality. provides valuable insights for researchers, businesses, industry experts deepen their understanding how shaping future while highlighting emerging opportunities, avenues research.

Язык: Английский

Процитировано

1

Digital transformation of the agri-food system DOI Creative Commons
Mahdi Vahdanjoo, Claus Aage Grøn Sørensen, Michael Nørremark

и другие.

Current Opinion in Food Science, Год журнала: 2025, Номер unknown, С. 101287 - 101287

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

Digital Traceability in Agri-Food Supply Chains: A Comparative Analysis of OECD Member Countries DOI Creative Commons
Sylvain Charlebois,

Noor Latif,

Ibrahim Ilahi

и другие.

Foods, Год журнала: 2024, Номер 13(7), С. 1075 - 1075

Опубликована: Апрель 1, 2024

In an era marked by globalization and rapid technological advancements, the agri-food sector confronts both unprecedented challenges opportunities. Among these, digital traceability systems have emerged as pivotal in enhancing operational efficiencies, ensuring food safety, promoting transparency throughout supply chain. This study presents a comparative analysis of adoption its impact across member countries Organization for Economic Co-operation Development (OECD). By utilizing multidimensional analytical framework, this investigates national regulations, legal frameworks, key commodities affected implementations. It systematically assesses efficacy these meeting consumer expectations, regulatory compliance, overarching goal sustainable chains. Through case studies empirical evidence, paper elucidates complex interplay between innovation environments, offering insights into best practices potential integration barriers. Ultimately, comprehensive investigation contributes to scholarly discourse on traceability, providing actionable recommendations policymakers, industry stakeholders, academia navigate complexities modern systems.

Язык: Английский

Процитировано

6

The Significance of Industry 4.0 Technologies in Enhancing Various Unit Operations Applied in the Food Sector: Focus on Food Drying DOI
Abdo Hassoun, Abderrahmane Aït‐Kaddour, Iman Dankar

и другие.

Food and Bioprocess Technology, Год журнала: 2024, Номер unknown

Опубликована: Июнь 10, 2024

Язык: Английский

Процитировано

6

From Food Industry 4.0 to Food Industry 5.0: Identifying technological enablers and potential future applications in the food sector DOI Creative Commons
Abdo Hassoun, Sandeep Jagtap, Hana Trollman

и другие.

Comprehensive Reviews in Food Science and Food Safety, Год журнала: 2024, Номер 23(6)

Опубликована: Окт. 22, 2024

Abstract Although several food‐related fields have yet to fully grasp the speed and breadth of fourth industrial revolution (also known as Industry 4.0), growing literature from other sectors shows that 5.0 (referring fifth revolution) is already underway. Food 4.0 has been characterized by fusion physical, digital, biological advances in food science technology, whereas future could be seen a more holistic, multidisciplinary, multidimensional approach. This review will focus on identifying potential enabling technologies harnessed shape coming years. We state‐of‐the‐art studies use innovative various agriculture applications over last 5 In addition, opportunities challenges highlighted, directions conclusions drawn. Preliminary evidence suggests outcome an evolutionary process not revolution, often claimed. Our results show regenerative and/or conversational artificial intelligence, Internet Everything, miniaturized nanosensors, 4D printing beyond, cobots advanced drones, edge computing, redactable blockchain, metaverse immersive techniques, cyber‐physical systems, digital twins, sixth‐generation wireless beyond are likely among main driving 5.0. framework, vision, value becoming popular research topics academic fields, agri‐food sector just started embrace some aspects dimensions

Язык: Английский

Процитировано

6

Digital Twin-Based Applications in Crop Monitoring DOI Creative Commons
Tsega Y. Melesse

Heliyon, Год журнала: 2025, Номер 11(2), С. e42137 - e42137

Опубликована: Янв. 1, 2025

Technological advances in agriculture, particularly the use of digital twins, are having a significant impact on crop management. This article explores twins management, focusing modeling methodologies, roles, implementation architecture, challenges, and prospects. The review identifies various methods for twin development monitoring, including physics-based, agent-based, data-driven, hybrid, spatial models. These models provide up-to-date information environmental conditions, soil moisture, other variables affecting yield. Despite being its early stages implementation, technology is showing signs progress, suggesting it could be next step farming's digitalization, increasing visibility transparency, improving decision-making processes. offers valuable insights fills research gaps, enabling informed decisions farmers, policymakers, service providers to enhance productivity, sustainability, resilience modern agriculture.

Язык: Английский

Процитировано

0

Performance Evaluation of TEROS 10 Sensor in Diverse Substrates and Soils of Different Electrical Conductivity Using Low-Cost Microcontroller Settings DOI Creative Commons
Athanasios Fragkos, Dimitrios Loukatos, George Kargas

и другие.

Land, Год журнала: 2025, Номер 14(2), С. 242 - 242

Опубликована: Янв. 24, 2025

This study sheds light on the performance of common high-precision electromagnetic sensor TEROS 10 to estimate volumetric soil water content (θ) from dry saturation across three different substrates, six types having levels electrical conductivity solutions (ECw), and in liquids with increasing salinity level under laboratory conditions, by using low-cost but accurate experimental IoT hardware arrangements. was evaluated statistical analysis metrics such as Root Mean Square Error (RMSE). It found that did not conform manufacturer’s specifications throughout full scale range, although some cases good estimation provided. Some inconsistencies were identified applying calibration equations, thus recommendations for improvements are provided, aiming enhance sensor’s overall performance. all soils substrates improved average an RMSE 0.052 0.078 cm3 cm−3, respectively, factory-derived calibration, 0.031 cm−3 multipoint method (CAL). Furthermore, a linear formula, Raw output predictor variable, tested resulted 0.026 0.046 respectively.

Язык: Английский

Процитировано

0

Navigating the Future of Agri-Food Supply Chain: A Conceptual Framework Using Bibliometric Review DOI Creative Commons
Abdul Kafi,

Nizamuddin Zainuddin,

Mohd Fitri Mansor

и другие.

Journal of Agriculture and Food Research, Год журнала: 2025, Номер 19, С. 101707 - 101707

Опубликована: Фев. 6, 2025

Язык: Английский

Процитировано

0