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Sampling and statistics in assessment of fresh produce

Code: 9781801462471
Publication date: 06/12/2021
Extent: 38 pages

Contributions by: K. B. Walsh, Central Queensland University, Australia; and V. A. McGlone and M. Wohlers, The New Zealand Institute for Plant and Food Research Limited, New Zealand

Chapter synopsis: 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.

DOI: 10.19103/AS.2021.0097.09

Open Access

This is an open access chapter distributed under the terms of the Creative Commons Attribution 4.0 License (CC BY).

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Table of contents 1 Introduction 2 Positioning the industry problem 3 Sampling statistics 4 How many to sample: 'power' calculations in simple random sampling 5 Estimating mean and variance 6 Case studies 7 Conclusion 8 Where to look for further information 9 Acknowledgements 10 References

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