Search

Search Results

• Examination of pig farm technology by computer simulation

  25-29

  Szilvia Szőke

  Lajos Nagy

  Sándor Kovács

  Péter Balogh

  Views:

  147

  Agricultural production is among the riskiest production activities. Similarly to other branches of agriculture in animal breeding the finished product is the result of complex procedures. The biological technological procedure, the creation of the product is affected by an outstanding number of environmental factors which also cause uncertainties. In the North Great Plain Region of Hungary, sows, gilts and slaughter pigs are produced on a corporate farm. The reliable operation data of this company provide a stable basis for and estimating future costs and revenue and their distributions. Monte Carlo methods are one of the generally accepted tools for modeling risks. The significant independent variables, their ranges and probability distributions, and the correlation between them were inputs to the model. The values of the variables were produced using a random number generator. The computer simulation was performed using @Ris (PalisadeCorporation) software. The study concentrates on the factors affecting the number of off spring (piglets). Model inputs were the mating, mortality and farrowing rates; the costs and the income values based on these rates have been analysed as the output data of the model.

• Agri-product evaluation and biodiversity measurement

  91-93

  Szilvia Kovács

  Views:

  106

  This paper is meant to be the first part of a two part unit that will be published next. The objective of this paper is to be an introduction of agri-product evaluation, with in which a short summary of essentials of diversity measurement is given and to share experience on evaluation of environmental friendly agri-product. For biodiversity measurement and extern effects, literature of related publications was processed and experience gained over experimental projects on environmental-friendly technologies was summed up. Methods applied were based on influence-response approach which guided us all through the research work. It can be stated that one diversity measure or one diversity function fails to describe communities of living beings; therefore, at least two methods should be used in parallel. Scale-dependent description of diversity is necessary, which provides us with new information that can not be revealed by traditional methods. To identify external effects, we have to take influences of use of a specific product into account and the responses generated by use of that product. Influences might appear in parallel or can build up one another, similarly to the generated responses of environment. To be as precise as possible, it is suggested that we take into account only clear responses. Influence-response relations are shown here using terms and concepts in broad sense and in general. More sophisticated application of terms and concepts is needed to evaluate properly and in monetary terms.We will make efforts to clarify terms and their use in the future.

• Agri-product evaluation and biodiversity measurement

  105-107

  Szilvia Kovács

  Views:

  97

  This paper is meant to be the first part of a two part unit that will be published next. The objective of this paper is to be an introduction of agri-product evaluation, within which a short summary of essentials of diversity measurement is given and to share experience on evaluation of environmental friendly agri-product. For biodiversity measurement and extern effects, literature of related publications was processed and experience gained over experimental projects on environmental-friendly technologies was summed up. Methods applied were based on influence-response approach which guided us all through the research work. It can be stated that one diversity measure or one diversity function fails to describe communities of living beings; therefore, at least two methods should be used in parallel. Scale-dependent description of diversity is necessary, which provides us with new information that can not be revealed by traditional methods. To identify external effects, we have to take influences of use of a specific product into account and the responses generated by use of that product. Influences might appear in parallel or can build up one another, similarly to the generated responses of environment. To be as precise as possible, it is suggested that we take into account only clear responses. Influence response relations are shown here using terms and concepts in broad sense and in general. More sophisticated application of terms and concepts is needed to evaluate properly and in monetary terms.We will make efforts to clarify terms and their use in the future.