2021
DOI: 10.1016/j.fbp.2021.02.005
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Data harmonisation as a key to enable digitalisation of the food sector: A review

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Cited by 29 publications
(26 citation statements)
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“…Currently there are many automatic and semi-automatic tools that are extensively used to classify FCDBs [9,41,87,88]. A clear example is the ASA24 system that uses automated methods for several databases [16,87]. Another example is StandFood, a semi-automated system that obtained an overall result accuracy of 79% [41].…”
Section: Standardization and Unificationmentioning
confidence: 99%
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“…Currently there are many automatic and semi-automatic tools that are extensively used to classify FCDBs [9,41,87,88]. A clear example is the ASA24 system that uses automated methods for several databases [16,87]. Another example is StandFood, a semi-automated system that obtained an overall result accuracy of 79% [41].…”
Section: Standardization and Unificationmentioning
confidence: 99%
“…Another example is StandFood, a semi-automated system that obtained an overall result accuracy of 79% [41]. New techniques of natural language processing [88], machine learning, and statistical models, such as Monte Carlo simulations [12] or extraction of 'big data' [20], make the process faster than manual work [16]. However, due to the complex work, a manual post hoc review is always required [82,87].…”
Section: Standardization and Unificationmentioning
confidence: 99%
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