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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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. (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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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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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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. & Davies, T. (2002): A user-friendly guide to multivariate calibration and classification The Cromwell Press Ltd, Trowbridge. Davies T. A user

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References AENOR ( 2005 ): General requirements for the competence of testing and calibration laboratories . EN ISO/IEC 17025

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calibration method for fish freshness assessment: a comparison between standard and passive refrigeration modalities. Fd Bioprocess Technol. , DOI 10.1007/s11947-011-0773-6 Cataudella S

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Fourier-transzformációs közép-infravörös spektroszkópia alapú szervesanyag-tartalom becslés tábla szintű reprezentativitás-vizsgálata kemometriai módszerekkel

Representativity analysis of middle-infrared spectroscopy-based Organic Carbon assessment on field-scale by chemometric methods

Agrokémia és Talajtan
Authors: Tóth József Attila, Döbröntey Réka, Szegi Tamás, Michéli Erika, and Csorba Ádám

practices: A review . Advances in Agronomy . 156 . 1 - 107 . Ramirez-Lopez , L ., Schmidt , K ., Behrens , T ., Wesemael , Bas Van , Dematté , J. A. M ., Scholten , T . ( 2014 ). Sampling Optimal Calibration Sets In Soil Infrared Spectroscopy

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, F. , He , Y. , Wang , L. & Sun , G. ( 2011 ): Detection of organic acids and pH of fruit vinegars using near-infrared spectroscopy and multivariate calibration . Food Bioprocess Tech. , 4 , 1331 – 1340

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