A review of robotics and autonomous systems in the food industry: From the supply chains perspective

Duong, Linh; Al-Fadhli, Mohammed B.; Jagtap, Sandeep; Bader, Farah; Martindale, Wayne; Swainson, Mark; Paoli, A.

doi:10.1016/j.tifs.2020.10.028

Cited by 93 publications

(52 citation statements)

References 84 publications

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“…The use of robotics and automation in any business is driven by the company's desire to reduce costs, increase production quantity and operation speed. Processes performed by robotics and automation also provide higher efficiency and an improved working environment [6]. Robotics, considered a form of automation, provides businesses with production flexibility, which is specifically important when a sudden change to meet consumer demands is required [7].…”

Section: Robotics and Automationmentioning

confidence: 99%

Food Logistics 4.0: Opportunities and Challenges

et al. 2020

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Food Logistics 4.0 is a term derived from Industry 4.0 focusing on all the aspects of food logistics management based on cyber-physical systems. It states that real-time information and the interconnectivity of things, supplemented with novel technologies will revolutionise and improve the way food logistics is carried out. It has tremendous potential in terms of bringing transparency, swift delivery of food at reduced cost, flexibility, and capability to deliver the right quality product at the right place and at the right time. This paper discusses the vital technologies within Food Logistics 4.0 and the opportunities and challenges in this regard. It focuses primarily on food logistics, including resource planning, warehouse management, transportation management, predictive maintenance, and data security. Internet of Things, Blockchain, Robotics and Automation and artificial intelligence are some of the technologies discussed.

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Section: Robotics and Automationmentioning

confidence: 99%

Food Logistics 4.0: Opportunities and Challenges

et al. 2020

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“…Adopting an Industry 4.0 approach will deliver less resource wastage, and automated processes such as temperature control could increase the BSFL productivity in processing the food waste. Artificial intelligence and robotics will be used to identify optimal rations of feedstocks, harvesting periods, and automate the BSF breeding process, respectively [34].…”

Section: Innovation and Industry 40 For Bsfl Productionmentioning

confidence: 99%

Codesign of Food System and Circular Economy Approaches for the Development of Livestock Feeds from Insect Larvae

Jagtap

García-García

Duong

et al. 2021

Foods

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Processes that utilise low-value wastes and convert them to high-value food ingredients systemically add value across commercial operations. Current common disposal options include use as animal feed, anaerobic digestion, composting, incineration, and the worst-case options of landfill and wastewater disposal. The pressure is acute with food manufacturers needing to align with the UN Sustainable Development Goals and reach targets of zero waste to landfill. This research identifies black soldier fly larvae as a bioreactor that converts most food waste into high-value feed materials. Production of larvae and the regulatory framework for their use as animal feed is being assessed in several nations. The requirement to understand the availability of feedstocks for larvae production and the capability to establish feedstock supply chains was tested in this study using geographical information system and life cycle assessment methodologies, providing new research insights for resource utilisation in a circular economy.

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“…For example in the dairy sector, the main wagon of Brazilian agribusiness, that holds few technologies and needs new researches that aims to facilitate the monitoring of food quality and production, like the application of industry 4.0 technologies. Duong et al (2020) have studied the application of robotics and autonomous systems in the food supply chain, food quality, food safety and food waste. Prasanth et al (2020) developed an portatile spectrophotometer from an open source computer (Raspberry Pi) that brings low cost, components of open source code for the analysis of fat and water added in the milk, optimizing the time of analysis.…”

Section: Introductionmentioning

confidence: 99%

“…For the ease of use, the generated data could be stored in servers of different regions through Cloud Computing. Another relevant aspect is that the objects start to have sensors and actuators, beyond the capability of connecting itself to the internet and interacting with humans or other objects, such technology is defined as IoT (Duong et al, 2020;Sacomano et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

IoT and Raspberry Pi application in the food industry: a systematic review

Endres

Pelisser

Finco

et al. 2022

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The Industry 4.0 technologies are in ascension in the worldwide market, in Brazil still needs to be explored. It was made a Systematic Review to measure the application of IoT in the food industry. Some platforms were used to select works, applying the string “IoT AND Raspberry Pi AND Cheese”. It was possible to evidence the majority of IoT applications in the food industry, focus on the control of temperature, humidity, color, traceability of productive chain, and enlargement of sustainability in the food industry. The most difficulties faced in the conventional application of IoT are related to the high cost of proprietary arquitectures, qualified manpower and obstacles of data security implementation. There are alternatives that aim to reduce the costs of implementation, like the utilization of Raspberry Pi. The food industry presents potential application of technologies that aim for the quality of products, being an excellent opportunity.

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A review of robotics and autonomous systems in the food industry: From the supply chains perspective

Cited by 93 publications

References 84 publications

Food Logistics 4.0: Opportunities and Challenges

Food Logistics 4.0: Opportunities and Challenges

Codesign of Food System and Circular Economy Approaches for the Development of Livestock Feeds from Insect Larvae

IoT and Raspberry Pi application in the food industry: a systematic review

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