Sampling and statistics in assessment of fresh produce
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 p...
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| 第一著者: | |
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| その他の著者: | , |
| フォーマット: | 電子媒体 図書の章 |
| 言語: | 英語 |
| 出版事項: |
Cambridge
Burleigh Dodds Science Publishing
2022
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| シリーズ: | Burleigh Dodds Series in Agricultural Science
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| 主題: | |
| オンライン･アクセス: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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| 要約: | 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. |
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| 物理的記述: | 1 electronic resource (38 p.) |
| ISBN: | AS.2021.0097.09 9781801462471 |
| アクセス: | Open Access |