Sampling for Decision Making in Crop Loss Assessment and Pest Management: Introduction
- 1 November 1999
- journal article
- Published by Scientific Societies in Phytopathology®
- Vol. 89 (11) , 1080-1083
- https://doi.org/10.1094/phyto.1999.89.11.1080
Abstract
Data obtained by sampling are crucial for decision making in crop loss assessment and pest management. Such data improve farmers' perceptions of the threat of pests and can, therefore, improve the quality of decision making in the practice of crop protection. The concept of a threshold, representing the dividing line between two alternative courses of action relating to seed or crop health, is an important aspect of crop protection decision making. Sampling is the means by which the required judgment can be guided. Operating characteristic curves are an important tool in the evaluation and comparison of the performance of sampling schemes. Precision integrated pest management, in which the objective is spatially variable pest management within fields, poses new problems for decision makers and statisticians developing sampling methodology in the context of crop protection.Keywords
This publication has 12 references indexed in Scilit:
- Sampling in Precision IPM: When the Objective Is a MapPhytopathology®, 1999
- Sampling for Plant Disease IncidencePhytopathology®, 1999
- Sampling for IPM Decision Making: Where Should We Invest Time and Resources?Phytopathology®, 1999
- Sampling in Seed Health TestingPhytopathology®, 1999
- Decision-making and diagnosis in disease managementPlant Pathology, 1999
- Survey Methods for Assessment of Citrus Tristeza Virus IncidencePhytopathology®, 1998
- Validating mathematical models of plant-disease progress in space and timeMathematical Medicine and Biology: A Journal of the IMA, 1997
- Incorporating spatial pattern of harmful organisms into crop loss modelsCrop Protection, 1996
- Temporal Analysis of Two Viruses Increasing in the Same Tobacco FieldsPhytopathology®, 1987
- Analysis of Spatial Patterns of Virus-Diseased Tobacco PlantsPhytopathology®, 1987