Sampling and statistics in assessment of fresh produce
Material type:
TextLanguage: English Series: Publication details: Cambridge Burleigh Dodds Science Publishing 2022Description: 1 online resource (38 p.)Content type: - text
- computer
- online resource
- 9781801462471
- AS.2021.0097.09
- agri-supply chains
- fresh produce
- measurement uncertainty
- power calculation
- sampling strategy
- thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNA Agribusiness and primary industries::KNAC Agriculture, agribusiness and food production industries
- thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNF Environmental management::RNFF Food security and supply
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TD Industrial chemistry and manufacturing technologies::TDC Industrial chemistry and chemical engineering::TDCT Food and beverage technology
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production
Open Access Unrestricted online access star
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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https://creativecommons.org/licenses/by/4.0/
English
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