2007
DOI: 10.1016/j.biosystemseng.2007.07.004
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Agricultural supply system traceability, Part II: Implications of packhouse processing transformations

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Cited by 38 publications
(18 citation statements)
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“…If it is not possible to reverse engineer such a system if requirements change in the future, it is useful to consider designing traceability systems at fine granularity IUs with built in tolerances. Riden and Bollen (2007) have also introduced the concept of purity for postharvest system traceability. Purity is an alternative way to consider tolerance.…”
Section: F Tolerances and Puritymentioning
confidence: 99%
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“…If it is not possible to reverse engineer such a system if requirements change in the future, it is useful to consider designing traceability systems at fine granularity IUs with built in tolerances. Riden and Bollen (2007) have also introduced the concept of purity for postharvest system traceability. Purity is an alternative way to consider tolerance.…”
Section: F Tolerances and Puritymentioning
confidence: 99%
“…By tripling the size of the input unit (essentially a bin trailer with three bins) the ratio was improved to 2.0 "triples" per pack (14,400 fruit), but precision was reduced as tripling the size of the input unit did not result in tripling the ratio. At the level of the IU of a production run Riden and Bollen (2007) estimated a traceability precision to only 136,800 fruit. It is useful, therefore, to trace with a fine level of granularity as this improves the potential precision of system traceability.…”
Section: Precision Of Traceabilitymentioning
confidence: 99%
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“…The model was based in extensible Markup Language (XML) Schemas technology. Bollen, Riden, and Cox (2007) and Riden and Bollen (2007), studied and analyzed the traceability in fruit supply chains in order to improve the traceability control of the batches, concluding that there is potential to implement high precision and fine granularity traceability in agricultural supply systems, which can also meet a number of other purposes such as improved feedback to producers and benefits to supply system efficiency, as well as being acceptable for compliance purposes. Serrano, Jiménez-Hornero, Gutiérrez de Ravé, and Jodral (2008) show how georreferenced data from Geographical Information Systems (GIS) can improve the traceability control of high quality honey, creating a open source code-based GIS web site was which fulfills the needs of characterizing the honeys.…”
Section: Development Of Traceability Systemsmentioning
confidence: 99%