Sequential Sampling for Pest Control Programs

County Programs for Vertebrate Pest Control in California

Quantifying trade-os between pest sampling time and precision in commercial IPM sampling programs

A key component of Integrated Pest Management (IPM) in agricultural systems is ®eld monitoring for pests prior to reaching a management decision. The study objective was to quantify a common design constraint of commercial IPM sampling programs: the trade-o€ between sampling time and accuracy of the resulting pest management decision. Using consperse stink bug (Euschistus conspersus Uhler) in p...

A Bayesian Method for Sequential Sampling and Forecasting in Agricultural Pest Management*

We present a method for sequential estimation of the state of infestation of an agricultural crop by a pest arthropod. The method, which is based on Bayesian statistical theory, establishes stopping curves by requiring that a confidence interval be placed entirely on one side or the other of an economic threshold. The results of a given sequential sample are used to modify the prior of the subs...

Sequential Sampling Plan with Fuzzy Parameters

In this paper a new sequential sampling plan is introduced in which the acceptable quality level (AQL) and the lot tolerance percent defective (LTPD) are a fuzzy number. This plan is well defined, since, if the parameters are crisp, it changes to a classical plan. For such a plan, a particular table of rejection and acceptance is calculated and compared with the classical one. Keywords : St...

Sequential programs

In this lecture we deal with executions by a single processor, and explain some basic notions which are important for concurrent systems as well. We define the notions “state”, “assertion”, “invariant” and partial and total correctness. Although we shall not develop here any formal logic, we explain how to mathematically reason about the correctness of programs. 1 Insertion Sort algorithms Our ...