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The Kraalingen Approach to Crop Simulation

In: Software Engineering Techniques Applied to Agricultural Systems

Author

Listed:
  • Petraq J. Papajorgji

    (Canadian Institute of Technology)

  • Panos M. Pardalos

    (University of Florida)

Abstract

The crop simulation model considered in this study is the one developed by Kraalingen [53]. This approach uses the rate-state concept of simulation modeling [80]. Calculations and statements are divided into four categories: initialization, rate calculations, integration calculations, and the output of results. These calculations are executed sequentially. The simulation starts at the beginning of a time step with a certain value for its state variables; therefore, the initialization step must be performed first. Rate and integration calculations are repeated a certain number of time steps until a termination condition is satisfied. For crop growth, a complete simulation run simulates growth from emergence to harvest. Final calculations and statements are made at the end of a simulation run (e.g., by writing final crop yields to an output file).

Suggested Citation

  • Petraq J. Papajorgji & Panos M. Pardalos, 2014. "The Kraalingen Approach to Crop Simulation," Springer Optimization and Its Applications, in: Software Engineering Techniques Applied to Agricultural Systems, edition 2, chapter 0, pages 181-228, Springer.
    • Handle: RePEc:spr:spochp:978-1-4899-7463-1_11
    DOI: 10.1007/978-1-4899-7463-1_11
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