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        Sampling and statistics in assessment of fresh produce

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        Author(s)
        Walsh, Kerry
        McGlone, V. A.
        Wohlers, M.
        Language
        English
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        Abstract
        New measurement technologies are facilitating new approaches to the improvement of safety and quality in agri-food supply chains. However, measurement uncertainty and choice of sampling strategy can influence the outcomes of assessment programmes. This chapter provides a sampler of calculations of population statistics, required sample sizes and approaches to developing and implementing a sampling strategy. While examples from the fresh produce sector are given, the sampler is of relevance to both the student and the practitioner operating in agri-supply chains more generally.
        URI
        https://library.oapen.org/handle/20.500.12657/61519
        Keywords
        sampling strategy; power calculation; measurement uncertainty; fresh produce; agri-supply chains
        DOI
        10.19103/AS.2021.0097.09
        ISBN
        9781801462471, 9781801462471
        Publisher
        Burleigh Dodds Science Publishing
        Publisher website
        https://bdspublishing.com/
        Publication date and place
        Cambridge, 2022
        Grantor
        • Central Queensland University - [...]
        Imprint
        Burleigh Dodds Science Publishing
        Series
        Burleigh Dodds Series in Agricultural Science,
        Classification
        Food security and supply
        Agriculture, agribusiness and food production industries
        Food and beverage technology
        Sustainable agriculture
        Agronomy and crop production
        Pages
        38
        Rights
        https://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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