Stochastic and Deterministic Models for Agricultural Production Networks

Abstract

An approach to modeling the impact of disturbances in an agricultural production network is presented. A stochastic model and its approximate deterministic model for averages over sample paths of the stochastic system are developed. Simulations, sensitivity and generalized sensitivity analyses are given. Finally, it is shown how diseases may be introduced into the network and corresponding simulations are discussed.

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Document Details

Document Type
Technical Report
Publication Date
Feb 22, 2007
Accession Number
ADA463581

Entities

People

  • A. Lloyd
  • A. Y. Govan
  • B. D. Slenning
  • G. Rempala
  • H. K. Nguyen
  • H. Thomas Banks
  • M. Last
  • M. S. Olufsen
  • P. Bai
  • S. Dediu

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Animal Diseases
  • Coinfection
  • Command Control Communications And Computer Systems
  • Computations
  • Differential Equations
  • Equations
  • Infection
  • Infectious Diseases
  • Inverse Problems
  • North Carolina
  • Partial Differential Equations
  • Production
  • Production Engineering
  • Statistical Analysis
  • Statistical Inference

Readers

  • Computational Fluid Dynamics (CFD)
  • Control Systems Engineering.
  • Industrial Economics