Monte Carlo Computer Simulation in Horticulture: A Model for Container Media Characterization

Abstract

The Monte Carlo method of computer simulation is a powerful tool for studying physical systems. With this method, random numbers are used to simulate processes that occur randomly in nature (Gould and Tobochnik, 1988). Monte Carlo methods are used in such diverse research areas as physics and materials science, economics, medicine, biochemistry, communications, and other fields. Computer simulation permits one to ascertain the quality of models for processes; it is flexible and allows precise control of various variables, facilitating the study of multicomponent systems, parallel and interrelated phenomena, or long-term variation processes (Binder, 1986). There are multiple advantages to using simulation: it can save time, labor, and money, compared with traditional laboratory experiments, while eliminating the safety hazards that may be encountered when conducting experiments (Hammersley and Handscomb, 1964). Many phenomena in horticulture take place at random; one of them is the container medium that constitutes the skeleton of the rhizosphere.Packings of spheres serve as models for many physical systems (Barker and Grimson, 1990;Dallavalle, 1948;Finney, 1983) and are achieved by establishing particle coordinates that represent a real assembly of particles constituting a structured system from which several properties can be calculated (Finney, 1983).A container medium can be considered a random system of particles. Applying simulation techniques to container medium systems is contingent on simultaneously characterizing their packing patterns and establishing analogies between container media and geometrical particles. This approach has long been considered useful in studying soil properties (Slichter, 1899).New materials that might be useful in container medium formulation are becoming avail-

Physical Properties of Various Coconut Coir Dusts Compared to Peat

“…Particle size distribution effect on physical properties of CD. Physical properties of container media depend on the material used, the particle size distribution, and the packing characteristics of particles (Burés et al, 1993a(Burés et al, , 1993b. Moreover, particle size affects pore size distribution and, hence, the air-water balance in the medium Raviv et al, 1986Raviv et al, , 2002.…”

Computer Simulation of Volume Shrinkage after Mixing Container Media Components

“…Thus, fundamental research is necessary to understand the physical response of container medium systems. The possibility of devising a threedimensional simulation model that would provide some insight on volumetric interactions between container medium components arose from our previous research with a computer simulation program that packs particles in two dimensions; this program allows for the study of porosity variation when two particle sizes are mixed (Burés et al, 1993).…”

“…Particles are mixture, divided by the additive volume of the components. initially situated randomly within the container and then are settled Curves were developed where percentage shrinkage is expressed via a Monte Carlo procedure (Burés et al, 1993). Maximum in relation to the percentage of the coarse component of a mixture.…”

Scientific Deep Machine Learning Concepts for the Prediction of Concentration Profiles and Chemical Reaction Kinetics: Consideration of Reaction Conditions

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