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HAAI-EFITA Workshop SeptemberBudapest, Hungary We have to calculate gerovital equilibrium ser perfect anti age absolute error from the difference of the measured and estimated concentration value, and the relative error, which give the ratio of the measured and real concentration value Young, Building our statistical based information system has to determine the number of nearest neighbouring points to be considered in the case of certain elements.

We discovered that elements can be ranged only into two groups depending on how many nearest neighbouring diagnostic points were considered to kriging.

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It is interesting, in case of K, P and Sr the results were the same 10 nearest neighboring points in case of developed statistical method.

The Internet-based program We developed a newer internet-based program that makes it possible to reach the objectives through arranging the results of analyses into a database and developing an authorisation system Fig. When developing the newer software, my objective was to create a dynamic website for users which together with the GPS coordinates only of the certain point could provide the estimated element content for the measured chemical elements also in such points where no samples had been taken and thus measured data were not available.

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The relative error and the confidence interval must be provided for each element content value, since they orientate the users into which range the quantity of the certain chemical element at the given diagnostic point can fall. We provided access to the database through internet-based technology. With the help of the egyenértékű leboncoin suisse anti aging server-side script language PHP Meloni, we planned and developed the user interface, through which the user can communicate with the program.

Conclusion On a statistical based developed system can be a suitable information system for the management determining the element concentrations in a well-defined anti aging természetes olaj. To determine the concentration of the elements, need only the GPS co-ordinates of the place.

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Data can access by a suitable authority system in this information system. Through the authorization system, the authorization level of each user can easily be determined.

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In case of database administrator authorization, almost any kind of query can be made in connection with the database through the general query module. Based on available data, the developed program makes it possible to estimate element content at a certain diagnostic point with some statistical errors; it can also be applied in analyzing effects of environmental pollution.

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Using by kriging method in case of the most elements we need 10 nearest neighbouring points have to be considered in order to estimate the element content with the smallest error. It is interesting, in case of K, P and Sr the results were the same 10 nearest neighbouring points in case of the developed statistical method.

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PHP form to evaluate the concentrations and reliability of the chosen elements based on the GPS-co-ordinates 5. References Alsamamra, H. Comparative study of ordinary and residual kriging techniques for mapping global solar radiation over southern Spain, Agricultural and Forest meteorology, Bailey, T. Experimental design and observation for large systems, Journal of the Royal Statistical Society.

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Series B58 77— Bodrog, Cs. Hidrology and hidrogeology mapplotting — by kriging method. Geiger J. Korpás, A. General statistics, National Textbook Publisher, Budapest, p. Meloni, J. Panem Kft, Budapest.

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Oliver, M. Geographical Information Systems, Vol. Geoderma Vol. Soil data bases for sustainable land use - Hungarian case study. CAB International. Agriculture has undergone egyenértékű leboncoin suisse anti aging changes since the industrial revolution.

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The industrial age and the market economy have moulded agriculture in their image just as much as the characteristics and tools of the information age have recently been transforming its previous operation. Information and communication technology ICT take-up in agriculture remains low, and the reasons behind this barely changed in the last years.

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Information technologies are regarded as mediating channels and a vehicle for new services. Information-intensive agriculture is fundamentally determined by information, knowledge and the decision-making farmers, in effect the human factor; therefore, studies aimed at the improvement of the situation of agriculture with ICT tools must be centred on the human element.

Keywords: ICT-adoption, agriculture, 1.

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Introduction Information has a central role in our modern way of living and agriculture is no exception: to be successful in farming requires gaining, processing, using and evaluating a huge amount of information policy, markets, new methods etc. Farmers are working in an information-intensive environment and numerous studies have showed that information and communication technologies ICT can play a vital role in realizing benefits with more effective information management in the farm level.

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The supply chain in agriculture not only means the flow of products and income but also that of information Niderhauser et al. The toolkit of the information society, information communication technologies ICT offers new opportunities for efficient operation, decision-making and adaptation to the environment Herdon, This, however, can only work successfully if certain conditions are met.


The potential opportunities can only be exploited to an optimum under the right circumstances, and it is also important that they are harmonised with the previously used farm management practice, or else the muchawaited success will suffer. The purpose of the study is to identify the barriers of widespread adoption of ICT among farmers, mainly analyzing the information flow, information strategies, information literacy and the characteristics of the farm and the farmer.

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The author provides an overview of the literature and sets up a theoretical framework of the factors affecting the information strategies and therefore also the use of ICT of the farmers.

Information flow and the farm manager Agriculture has undergone significant changes since the industrial revolution: one of the most important ones is market orientation strictly speaking in the developed world we can only find farms producing for the market or at least partly for the marketbut standardised solutions, economies of scale and automation have also become widespread, and this is only partly the result of the flow of the labour force into the cities.

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The industrial age and the market economy have moulded agriculture in their image just as much as the characteristics and tools of the information age have been transforming its previous operation. At the same time, the fundamental cyclical nature of agricultural operation is unchanged. Farming has been placed in a new egyenértékű leboncoin suisse anti aging these days: farm managers have had to increasingly devote attention and interact with the external world environmental effects, quality requirements, standards, and documentation — see for example the documentation necessary when applying for EUfunds.

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Besides land, labour and capital, sufficient information has become a critical factor for agricultural businesses. Agricultural management and producers are both dependent on a comprehensive, information-rich environment, since without it they could easily lose their competitive edge.

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