Food Industry 4.0: Opportunities for a digital future

Bakalis, Serafim; Gerogiorgis, Dimitrios I.; Argyropoulos, Dimitrios; Emmanoulidis, Christos

doi:10.1016/b978-0-12-821292-9.00011-x

Cited by 7 publications

(8 citation statements)

References 44 publications

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“…The studies and discussions on the use of I4 in the food sectors in particular have been reported in the literature [ 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 ,…”

Section: Resultsmentioning

confidence: 99%

“…The topics of Agriculture-Industry 4.0 (I4) [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 ] and Foods-I4 [ 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 ,…”

Section: Introductionunclassified

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A Conceptual Model Relationship between Industry 4.0—Food-Agriculture Nexus and Agroecosystem: A Literature Review and Knowledge Gaps

Yap,

Al-Mutairi

2024

Foods

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With the expected colonization of human daily life by artificial intelligence, including in industry productivity, the deployment of Industry 4.0 (I4) in the food agriculture industry (FAI) is expected to revolutionize and galvanize food production to increase the efficiency of the industry’s production and to match, in tandem, a country’s gross domestic productivity. Based on a literature review, there have been almost no direct relationships between the I4—Food-Agriculture (I4FA) Nexus and the agroecosystem. This study aimed to evaluate the state-of-the-art relationships between the I4FA Nexus and the agroecosystem and to discuss the challenges in the sustainable FAI that can be assisted by the I4 technologies. This objective was fulfilled by (a) reviewing all the relevant publications and (b) drawing a conceptual relationship between the I4FA Nexus and the agroecosystem, in which the I4FA Nexus is categorized into socio-economic and environmental (SEE) perspectives. Four points are highlighted in the present review. First, I4 technology is projected to grow in the agricultural and food sectors today and in the future. Second, food agriculture output may benefit from I4 by considering the SEE benefits. Third, implementing I4 is a challenging journey for the sustainable FAI, especially for the small to medium enterprises (SMEs). Fourth, environmental, social, and governance (ESG) principles can help to manage I4’s implementation in agriculture and food. The advantages of I4 deployment include (a) social benefits like increased occupational safety, workers’ health, and food quality, security, and safety; (b) economic benefits, like using sensors to reduce agricultural food production costs, and the food supply chain; and (c) environmental benefits like reducing chemical leaching and fertilizer use. However, more studies are needed to address social adaptability, trust, privacy, and economic income uncertainty, especially in SMEs or in businesses or nations with lower resources; this will require time for adaptation to make the transition away from human ecology. For agriculture to be ESG-sustainable, the deployment of I4FA could be an answer with the support of an open-minded dialogue platform with ESG-minded leaders to complement sustainable agroecosystems on a global scale.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionunclassified

A Conceptual Model Relationship between Industry 4.0—Food-Agriculture Nexus and Agroecosystem: A Literature Review and Knowledge Gaps

Yap,

Al-Mutairi

2024

Foods

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“…Currently, the food industry is facing a major challenge of changing its business model from one based on supply to one based on demand. Noting that the supply chain resilience was impacted, especially at the beginning of the COVID-19 pandemic [37]. Therefore, the emergence of digitalization and industry 4.0 technological contributions are highly required to lead the transformation of food production to enhance the sustainability of this sector [38].…”

Section: • Food Industrymentioning

confidence: 99%

“…Automotive is the largest industrial sector in the world. Considering the UK only, 3.7 million employees are working in the automotive sector and the economical contribution of the UK economy is about $26 billion [37]. In the automotive industry, assembly cells is playing an important role where 83% of production units involve assembly tasks [16].…”

Section: • Automotive Industrymentioning

confidence: 99%

An Overview of Human-Robot Collaboration in Smart Manufacturing

Othman

Yang

2022

2022 27th International Conference on Automation and Computing (ICAC)

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Industry 4.0, also termed smart manufacturing, has revolutionized the industrial world with cutting-edge technologies such as collaborative robots and artificial intelligence etc. Productivity and efficiency are two key factors that determine the success level of manufacturing. Therefore, many manufacturers have become so eager to adopt adaptive, intuitive, collaborative and smart techniques to improve the production lines, including key manufacturing machines and equipment. Therefore, robotic systems are playing an increasingly vital role in many industrial sectors, as they decrease the need for human labour and increase automation level. In addition, material waste can be also reduced since robots provide stability and accuracy during work. In turn, production times are reduced as well. Consequently, smart manufacturing areas need more advanced, flexible, and smart robotic systems to respond to market size changes and customization processes. As a result, currently, great research efforts are made to enrich the interactions between humans and robots in the work environment. This paper presents an overview of Human-Robot Collaboration (HRC) systems being employed in smart manufacturing to exploit the benefits of human experience and the capabilities of robotic systems. The research gaps, challenges and future work directions on HRC are highlighted and analyzed towards smart manufacturing.

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“…The second one (IR 2.0) dates back to the late nineteenth century, and was marked by the first use of electrical power to create mass production. The third industrial revolution (IR 3.0) began in the early 1970s with the arrival of electronics and information technology, leading to automated production [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Meat 4.0: Principles and Applications of Industry 4.0 Technologies in the Meat Industry

Echegaray

Hassoun²,

Jagtap

et al. 2022

Applied Sciences

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Meat 4.0 refers to the application the fourth industrial revolution (Industry 4.0) technologies in the meat sector. Industry 4.0 components, such as robotics, Internet of Things, Big Data, augmented reality, cybersecurity, and blockchain, have recently transformed many industrial and manufacturing sectors, including agri-food sectors, such as the meat industry. The need for digitalised and automated solutions throughout the whole food supply chain has increased remarkably during the COVID-19 pandemic. This review will introduce the concept of Meat 4.0, highlight its main enablers, and provide an updated overview of recent developments and applications of Industry 4.0 innovations and advanced techniques in digital transformation and process automation of the meat industry. A particular focus will be put on the role of Meat 4.0 enablers in meat processing, preservation and analyses of quality, safety and authenticity. Our literature review shows that Industry 4.0 has significant potential to improve the way meat is processed, preserved, and analysed, reduce food waste and loss, develop safe meat products of high quality, and prevent meat fraud. Despite the current challenges, growing literature shows that the meat sector can be highly automated using smart technologies, such as robots and smart sensors based on spectroscopy and imaging technology.

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Food Industry 4.0: Opportunities for a digital future

Cited by 7 publications

References 44 publications

A Conceptual Model Relationship between Industry 4.0—Food-Agriculture Nexus and Agroecosystem: A Literature Review and Knowledge Gaps

A Conceptual Model Relationship between Industry 4.0—Food-Agriculture Nexus and Agroecosystem: A Literature Review and Knowledge Gaps

An Overview of Human-Robot Collaboration in Smart Manufacturing

Meat 4.0: Principles and Applications of Industry 4.0 Technologies in the Meat Industry

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