TY  - BOOK
TI  - Sampling and statistics in assessment of fresh produce
T2  - Burleigh Dodds Series in Agricultural Science
SN  - 9781801462471
PY  - 2022///
CY  - Cambridge
PB  - Burleigh Dodds Science Publishing
KW  - agri-supply chains
KW  - fresh produce
KW  - measurement uncertainty
KW  - power calculation
KW  - sampling strategy
KW  - 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
KW  - thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNF Environmental management::RNFF Food security and supply
KW  - 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
KW  - thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture
KW  - thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production
N1  - Open Access
N2  - 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
UR  - https://directory.doabooks.org/handle/20.500.12854/97600
UR  - https://library.oapen.org/bitstream/20.500.12657/61519/1/9781801462471_web.pdf
ER  -