Traceability in the meat, poultry and seafood industries

McMillin, Kenneth; Lampila, L. E.; Marcy, J. A.

doi:10.1533/9780857095718.4.565

Cited by 2 publications

(1 citation statement)

References 88 publications

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“…It also aids in the recall or withdrawal of unsafe seafoods by regulators and manufacturers (Rao et al, 2022). Also, along the supply chain of the food system, traceability is essential as it helps in identification of sources of contamination and their routes (McMillin et al, 2012).…”

Section: Smart Tools For Seafood Traceability and Managementmentioning

confidence: 99%

Reduction of Losses and Wastage in Seafoods: The Role of Smart Tools and Biosensors Based on Artificial Intelligence

Ayısı Larbı,

Osei

2024

Journal of AI

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This paper reviews current knowledge on the role of smart tools and biosensors based on artificial intelligence in reducing seafood loss and wastage. This study shows that a variety of biosensors, categorised according to how they function, can be used to measure the quality of seafood. These include optical biosensors, enzyme-based biosensors, immunosensors, microbial biosensors, DNA-based biosensors, electrochemical biosensors, optical biosensors, tissue-based biosensors, and piezoelectric biosensors. Among these biosensors, optical biosensors, electrochemical biosensors, and mechanical biosensors are the most significant. Again, this study report that, for seafood traceability and management, a variety of smart solutions including blockchain technology, quick response (QR) codes, data analytics, digital twins, and radio frequency identification (RFID) tags can be utilised. Catch data, vessel tracking data, and data from the processing plant are some of the different data sources that can be utilised to trace seafood products. Artificial intelligence tools like neural networks, deep learning, machine learning, and others can be used to forecast and improve seafood quality. It is crucial to study the development of biosensors that can properly identify the earliest signs of seafood contamination or rotting.

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Section: Smart Tools For Seafood Traceability and Managementmentioning

confidence: 99%

Reduction of Losses and Wastage in Seafoods: The Role of Smart Tools and Biosensors Based on Artificial Intelligence

Ayısı Larbı,

Osei

2024

Journal of AI

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Strategic Architecture in Poultry Company

Oktavia

Marimin

Djohar

2017

JDM

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The purpose of this study is to identify factors in the external environment affecting the poultry industry, analyze the business integration process of the company and know its internal factors, analyze the future of the poultry industry in Indonesia and formulate the strategic architecture of PT Sierad Produce Tbk (SIPD) and its priority importance. Respondents in this study were determined using purposive sampling method. While the research method used is descriptive-qualitative with case study approach and using Analytical Hierarchy Process (AHP) as priority determination of interest.. The results of the research are several alternative SIPD strategy based on the main objective of the company, that is maximizing corporate integration, product development and market development. A strategic map as a strategic architecture design lane is created to illustrate the execution time of each alternative strategy. The business integration process at SIPD is currently not optimally developed, meaning that every stage of the production process is still a profit center. Achieving institutional markets with a contractual approach proves to ensure product survival.

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Traceability in the meat, poultry and seafood industries

Cited by 2 publications

References 88 publications

Reduction of Losses and Wastage in Seafoods: The Role of Smart Tools and Biosensors Based on Artificial Intelligence

Reduction of Losses and Wastage in Seafoods: The Role of Smart Tools and Biosensors Based on Artificial Intelligence

Strategic Architecture in Poultry Company

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