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Fertilizer research

, Volume 23, Issue 3, pp 151–164 | Cite as

Optimizing the process of forest fertilization as a control system

  • Vicente Costanza
  • Carlos E. Neuman
Article

Abstract

We propose a new method for determining optimal fertilization strategies for tree plantations. The method is based on principles of Control Theory and basically consists in evaluating approximately the equations governing the dynamics of the system fertilizer-tree, and then applying optimization techniques adapted to additive cost functions. We describe the procedure as used in a real experiment withEucalyptus rostrata.

The main advantage of the method lies in the possibility of taking into account sequences of potentially different amounts of fertilizer added at different times. The results are interpreted as recommendations about when and how much fertilizer should be applied to a similar plantation in order to maximize profit.

Key words

Forest fertilization approximate realizations natural control systems process optimization 

Resumen

Proponemos un método nuevo para encontrar estrategias óptimas de fertilización en bosques implantados. El método se funda en principios de Teoría de Control, y básicamente consiste en determinar aproximadamente las ecuaciones que gobiernan la dinámica del sistema árbol-fertilizante, y luego aplicar técnicas usuales de optimización para costos aditivos. Describimos el procedimiento mediante un experimento real con ejemplares deEucalyptus rostrata. La ventaja principal del método consiste en la posibilidad de tomar en cuenta sucesiones de aplicaciones de fertilizantes que puedan ser distintas en magnitud y también efectivizadas en momentos distintos. Los resultados producen recomendaciones sobre cuándo y cuánto fertilizante debería aplicarse en una plantación similar para maximizar las ganancias globales.

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Copyright information

© Kluwer Academic Publishers 1990

Authors and Affiliations

  • Vicente Costanza
    • 1
  • Carlos E. Neuman
    • 1
  1. 1.INTEC, Instituto de Desarrollo Tecnológico para la Industria QuímicaCONICET — UNL, GüemesSanta FeRepública Argentina

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