Journal article
A review of current statistical methodologies for in-storage sampling and surveillance in the grains industry
Bulletin of Entomological Research, Vol.103(02), pp.140-147
2013
Abstract
Effective, statistically robust sampling and surveillance strategies form an integral component of large agricultural industries such as the grains industry. Intensive in-storage sampling is essential for pest detection, integrated pest management (IPM), to determine grain quality and to satisfy importing nation's biosecurity concerns, while surveillance over broad geographic regions ensures that biosecurity risks can be excluded, monitored, eradicated or contained within an area. In the grains industry, a number of qualitative and quantitative methodologies for surveillance and in-storage sampling have been considered. Primarily, research has focussed on developing statistical methodologies for in-storage sampling strategies concentrating on detection of pest insects within a grain bulk; however, the need for effective and statistically defensible surveillance strategies has also been recognised. Interestingly, although surveillance and in-storage sampling have typically been considered independently, many techniques and concepts are common between the two fields of research. This review aims to consider the development of statistically based in-storage sampling and surveillance strategies and to identify methods that may be useful for both surveillance and in-storage sampling. We discuss the utility of new quantitative and qualitative approaches, such as Bayesian statistics, fault trees and more traditional probabilistic methods and show how these methods may be used in both surveillance and in-storage sampling systems.
Details
- Title
- A review of current statistical methodologies for in-storage sampling and surveillance in the grains industry
- Authors/Creators
- D. Elmouttie (Author/Creator)N.E.B. Hammond (Author/Creator)G. Hamilton (Author/Creator)
- Publication Details
- Bulletin of Entomological Research, Vol.103(02), pp.140-147
- Publisher
- Cambridge University Press
- Identifiers
- 991005541722807891
- Copyright
- © Cambridge University Press 2012
- Murdoch Affiliation
- School of Veterinary and Biomedical Sciences
- Language
- English
- Resource Type
- Journal article
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Metrics
59 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.32 Entomology
- 3.32.1138 Botanical Insecticides
- Web Of Science research areas
- Entomology
- ESI research areas
- Plant & Animal Science