Predictive Models for Integrated Pest Management - Candy, Steven
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Integrated Pest Management is a key strategy in reducing the application of pesticides for crop protection on farms and in forest plantations. The contents of this book correspond to the author's PhD dissertation and covers a wide range of predictive models for sampling of pest populations, estimating impacts of defoliation on crop production, optimal timing of pest control operations, and analyses to maximise the economic value of sampling combined with pest control decision making. The statistical and mathematical models have general application and are demonstrated using a case study of the…mehr

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Produktbeschreibung
Integrated Pest Management is a key strategy in reducing the application of pesticides for crop protection on farms and in forest plantations. The contents of this book correspond to the author's PhD dissertation and covers a wide range of predictive models for sampling of pest populations, estimating impacts of defoliation on crop production, optimal timing of pest control operations, and analyses to maximise the economic value of sampling combined with pest control decision making. The statistical and mathematical models have general application and are demonstrated using a case study of the IPM strategy for controlling the leaf beetle Chrysophtharta bimaculata in Eucalyptus nitens plantations grown for wood products in Tasmania.
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Autorenporträt
Steven Candy, BSc, DipBiom (Syd), MAgrSc, Phd (Tas) specialises in biometry and mathematical modelling mostly in the areas of forestry science and marine science. He is currently employed as Senior Applied Statistician with the Australian Antarctic Division