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It was found that quantitative and qualitative indices of the sweet corn yield correlate with the nitrate nitrogen content of the upper soil layer (0-30 cm). As no correlation was established between the nitrate nitrogen content of the lower layers and the sweet corn, the conclusion was drawn that the quantity of sweet corn yield is determined even before its roots reach deeper down than 30 cm and the nitrogen content of the lower layers could affect the sweet corn.  Depending on the NO 3 -N content of the soil before fertilization the maximal corn ear mass achievable with fertilization may vary. In the study the same yield could not be accomplished in the case of the lowest soil nitrogen concentration (2.9 mg NO 3 -N/kg) with the highest fertilizer rate (200 kg N/ha) - but probably irrespective of any amount of fertilizer - as on the soil of 4.6 mg NO 3 -N/kg. In the case of the poorly supplied soil the fertilization curve becomes flat sooner or turns negative. The phenomenon that, regarding various soils, the maximal yield achievable on soils with good production features with fertilization is higher than in the case of soils having worse features, is well-known. That this fact is also valid in the case of the same soils was expected after calibration experiments carried out with winter oilseed rape and beet root, but it has not been proven for sweet corn as yet.  The results also showed that the grain dry matter production of sweet corn per hectare can still be enhanced with the increase in the soil's nitrogen supply, even if the corn ear does not grow.  The presented calibration curves show - in the range of 2.9-4.6 mg NO 3 -N/kg soil - how much corn ear and grain dry matter produce are expected on soils with differing nitrogen supply, distributing 0-200 kg nitrogen fertilizer in spring.

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adjust the outputs to evaluate the accuracy of a model's estimations. This process can be improved by narrowing down the most influential input parameters using statistical methods such as sensitivity analysis [ 10–12 ]. However, the calibration of

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. (2003) Calibration of a Pushbroom Hyperspectral Imaging System for Agricultural Inspection. Transactions of the ASAE . Vol. 46(2): 513–521. Mao C. Calibration of a Pushbroom

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The Unified Grain Moisture Algorithm is capable of improved accuracy and allows the combination of many grain types into a single “unified calibration”. The purposes of this research were to establish processes for determining unifying parameters from the chemical and physical properties of grains. The data used in this research were obtained as part of the United States Department of Agriculture-Grain Inspection, Packers and Stockyards Administration's Annual Moisture Calibration Study. More than 5,000 grain samples were tested with a Hewlett-Packard 4291A Material/Impedance Analyzer. Temperature tests were done with a Very High Frequency prototype system at Corvinus University of Budapest. Typical chemical and physical parameters for each of the major grain types were obtained from the literature. Data were analyzed by multivariate chemometric methods. One of the most important unifying parameters (Slope) and the temperature correction coefficient were successfully modeled. The Offset and Translation unifying parameters were not modeled successfully, but these parameters can be estimated relatively easily through limited grain tests.

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Resolution and Discovery
Authors: György Zoltán Radnóczi, Zoltán Herceg, and Tamás Rafael Kiss

modern microscopes is usually around 1–2%. This accuracy is only achieved if strict imaging requirements are met regarding sample height and defocus. This may be improved by the use of accurate calibration standards like the commonly known Mag

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51 567 577 Lawrence , K.C., Park , B., Windham , W.R. & Mao , C. (2003): Calibration of a push broom hyperspectral imaging

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for Volumetric Standards Calibration J. Res. Natl. Inst. Stand. Technol. Volume 97, Number 3, May-June 1992 , pp. 336 – 340 . 18. Maierhofer C

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Agrokémia és Talajtan
Authors: Marianna Papp, János Balogh, Krisztina Pintér, Szilvia Fóti, Péter Koncz, Marian Pavelka, Eva Darenova, and Zoltán Nagy

Az utóbbi évtizedben zajló kutatások kimutatták, hogy a talajok CO2-kibocsátása jelentős napi és szezonális változékonyságot mutat. A manuális mérőrendszerekkel azonban ez nehezen követhető nyomon. Éppen ezért megjelent az igény a nagyobb időbeli felbontású automata mérőrendszerekre, több gyártó készítette el saját fejlesztésű műszerét. Ezeknek a rendszereknek a hátránya, hogy drágák és többnyire zárt rendszerben működnek, ahol a bonyolult kamranyitó-záró mechanika csökkentheti a működésbiztonságot. További hátrányt jelent a kamrák meglehetősen nagy mérete, ami miatt gyepállományokban nehezen alkalmazhatók.Az általunk kifejlesztett nyílt rendszerű mérőeszköz alkalmasnak bizonyult ezen problémák kiküszöbölésére: a kisméretű kamrák (d = 5 cm) könnyen elhelyezhetők a növények között, nyílt rendszerben nem szükséges kamranyitó-záró mechanikát építeni, és a rendszer olcsón kivitelezhető.A kifejlesztett 10 kamrás mérőrendszer kalibrálását laboratóriumi körülmények között végeztük el, valamint összehasonlítottuk terepi mérések segítségével egy nemzetközileg is hitelesnek számító mérőrendszerrel. A kapott eredmények szerint a kifejlesztett mérőrendszer alkalmas hosszú időtartamú automata-mérésekre, segítségével nagy mennyiségű adat nyerhető.

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ISO (1990): Water quality — calibration and evaluation of analytical methods and estimation of performance characteristics — Part 1: Statistical evaluation of the linear calibration function . International Standard. No 8466

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The object of the examination is a typical office building of the 1990s, owned by a multinational company -Siemens- dedicated to energy awareness. The building also meets the energy efficiency category ‘A’ under the 7/2006 TNM Hungarian regulations concerning the energy performance definition of buildings. However, demand has emerged to implement additional changes to reduce energy usage whilst keeping the current climate comfort or even improving it. International experience forecasts around 30% energy saving potential due to optimization of the building automation and energy management system, and thus the interaction and collaboration between the building geometry, structures and services systems. The project has been built in the IDA ICE complex building energy simulation program. Running a one-year dynamic simulation will provide data that can be compared with the measured data of the actual building, so the model can be adjusted and validated to real data. After the calibration it is now possible to test the ideas under safe conditions, in a virtual surrounding. Once a particular vision of the model is proven to work effectively, it is possible to apply this to the real building control management as well.

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