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Добірка наукової літератури з теми "Noise control Mathematical models"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 31 січня 2023

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Статті в журналах з теми "Noise control Mathematical models"

1

Polivayev, O. I., and A. N. Kuznetsov. "Bases of active noise control." Traktory i sel hozmashiny 82, no. 7 (July 15, 2015): 30–34. http://dx.doi.org/10.17816/0321-4443-66049.

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2

LASIECKA, IRENA. "MATHEMATICAL CONTROL THEORY IN STRUCTURAL ACOUSTIC PROBLEMS." Mathematical Models and Methods in Applied Sciences 08, no. 07 (November 1998): 1119–53. http://dx.doi.org/10.1142/s0218202598000524.

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Анотація:

We consider control problems formulated within the context of structural acoustic models. The goal is to reduce the level of a noise or unwanted pressure in the interior of an acoustic chamber. This is accomplished by applying passive and active boundary and point controls in a feedback form. Mathematical (PDE) aspects of the underlying control problems are presented.

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3

Jondral, Friedrich K. "White Gaussian Noise – Models for Engineers." Frequenz 72, no. 5-6 (April 25, 2018): 293–99. http://dx.doi.org/10.1515/freq-2017-0064.

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AbstractThis paper assembles some information about white Gaussian noise (WGN) and its applications. It starts from a description of thermal noise, i. e. the irregular motion of free charge carriers in electronic devices. In a second step, mathematical models of WGN processes and their most important parameters, especially autocorrelation functions and power spectrum densities, are introduced. In order to proceed from mathematical models to simulations, we discuss the generation of normally distributed random numbers. The signal-to-noise ratio as the most important quality measure used in comm

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4

Gabbert, Ulrich, Fabian Duvigneau, and Stefan Ringwelski. "NOISE CONTROL OF VEHICLE DRIVE SYSTEMS." Facta Universitatis, Series: Mechanical Engineering 15, no. 2 (August 2, 2017): 183. http://dx.doi.org/10.22190/fume170615009g.

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The paper presents an overall simulation approach to control the noise emission of car engines at a very early stage of the design process where no real prototypes are available. The suggested approach combines different physical models and couples different software tools such as multi-body analysis, fluid dynamics, structural mechanics, magneto-electrodynamics, thermodynamics, acoustics and control as well. The general overall simulation methodology is presented first. Then, this methodology is applied to a combustion engine in order to improve its acoustical behavior by passive means, such

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5

Zhou, Peng, Mingtao Tan, Jianbo Ji, and Jie Jin. "Design and Analysis of Anti-Noise Parameter-Variable Zeroing Neural Network for Dynamic Complex Matrix Inversion and Manipulator Trajectory Tracking." Electronics 11, no. 5 (March 7, 2022): 824. http://dx.doi.org/10.3390/electronics11050824.

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Dynamic complex matrix inversion (DCMI) problems frequently arise in the territories of mathematics and engineering, and various recurrent neural network (RNN) models have been reported to effectively find the solutions of the DCMI problems. However, most of the reported works concentrated on solving DCMI problems in ideal no noise environment, and the inevitable noises in reality are not considered. To enhance the robustness of the existing models, an anti-noise parameter-variable zeroing neural network (ANPVZNN) is proposed by introducing a novel activation function (NAF). Both of mathematic

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6

Shi, Guojun, Robert E. Skelton, and Karolos M. Grigoriadis. "Minimum output variance control for FSN models: Continuous-time case." Mathematical Problems in Engineering 6, no. 2-3 (2000): 171–88. http://dx.doi.org/10.1155/s1024123x00001319.

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In this paper we consider the Finite Signal-to-Noise ratio model for linear stochastic systems. It is assumed that the intensity of noise corrupting a signal is proportional to the variance of the signal. Hence, the signal-to-noise ratio of each sensor and actuator is finite – as opposed to the infinite signal-to-noise ratio assumed in LQG theory. Computational errors in the controller implementation are treated similarly. The objective is to design a state feedback control law such that the closed loop system is mean square asymptotically stable and the output variance is minimized. The main

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7

Petrovici, Alina, Jose Luis Cueto, Valentin Nedeff, Enrique Nava, Florin Nedeff, Ricardo Hernandez, Carmen Bujoreanu, Stefan Andrei Irimiciuc, and Maricel Agop. "Dynamic Evaluation of Traffic Noise through Standard and Multifractal Models." Symmetry 12, no. 11 (November 11, 2020): 1857. http://dx.doi.org/10.3390/sym12111857.

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Traffic microsimulation models use the movement of individual driver-vehicle-units (DVUs) and their interactions, which allows a detailed estimation of the traffic noise using Common Noise Assessment Methods (CNOSSOS). The Dynamic Traffic Noise Assessment (DTNA) methodology is applied to real traffic situations, then compared to on-field noise levels from measurement campaigns. This makes it possible to determine the influence of certain local traffic factors on the evaluation of noise. The pattern of distribution of vehicles along the avenue is related to the logic of traffic light control. T

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8

Longtin, André, Brent Doiron, and Adi R. Bulsara. "Noise-induced divisive gain control in neuron models." Biosystems 67, no. 1-3 (October 2002): 147–56. http://dx.doi.org/10.1016/s0303-2647(02)00073-4.

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9

Tai, Yanni, Haibin Qu, and Xingchu Gong. "Design Space Calculation and Continuous Improvement Considering a Noise Parameter: A Case Study of Ethanol Precipitation Process Optimization for Carthami Flos Extract." Separations 8, no. 6 (May 24, 2021): 74. http://dx.doi.org/10.3390/separations8060074.

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The optimization of process parameters in the pharmaceutical industry is often carried out according to the Quality by Design (QbD) concept. QbD also emphasizes that continuous improvement should be performed in life cycle management. Process parameters that are difficult to control in actual production can be regarded as noise parameters. In this study, based on the QbD concept, the ethanol precipitation process of Carthami Flos extract was optimized, considering a noise parameter. The density of the concentrated extract, ethanol concentration, the volume ratio of ethanol to concentrated extr

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10

Perkins, Theodore J., Roy Wilds, and Leon Glass. "Robust dynamics in minimal hybrid models of genetic networks." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 368, no. 1930 (November 13, 2010): 4961–75. http://dx.doi.org/10.1098/rsta.2010.0139.

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Many gene-regulatory networks necessarily display robust dynamics that are insensitive to noise and stable under evolution. We propose that a class of hybrid systems can be used to relate the structure of these networks to their dynamics and provide insight into the origin of robustness. In these systems, the genes are represented by logical functions, and the controlling transcription factor protein molecules are real variables, which are produced and destroyed. As the transcription factor concentrations cross thresholds, they control the production of other transcription factors. We discuss

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Дисертації з теми "Noise control Mathematical models"

1

Mackenzie, Neil C. "The independent quadratic optimisation algorithm for the active control of noise and vibration /." Title page, contents and abstract only, 1996. http://web4.library.adelaide.edu.au/theses/09PH/09phm15742.pdf.

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2

Snyder, Scott D. "A fundamental study of active noise control system design /." Title page, contents and abstract only, 1991. http://web4.library.adelaide.edu.au/theses/09PH/09phs675.pdf.

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3

Li, Xun. "Physical systems for the active control of transformer noise." Title page, contents and abstract only, 2000. http://hdl.handle.net/2440/37964.

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Анотація:

Traditional means of controlling sound radiated by electrical power transformers involve the construction of large expensive barriers or full enclosures, which cause maintainability and cooling problems. One promising alternative is to use active noise control to cancel the noise. This thesis is concerned with one of the many problems which need to be investigated to develop a practical active noise cancellation system for transformers. This work, in particular, is concerned with the physical system design which includes the selection of the control source types and the evaluation of the near

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4

Richard, John S. "Modeling of multiple layered piezoelectric actuators in active structural control." Thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-12052009-020234/.

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5

Ruckman, Christopher E. "A regression-based approach for simulating feedfoward active noise control, with application to fluid-structure interaction problems." Diss., This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-06062008-170941/.

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6

Rallabhandi, Sriram Kishore. "Sonic Boom Minimization through Vehicle Shape Optimization and Probabilistic Acoustic Propagation." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6937.

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Sonic boom annoyance is an important technical showstopper for commercial supersonic aircraft operations. It has been proposed that aircraft can be shaped to alleviate sonic boom. Choosing the right aircraft shape reflecting the design requirements is a fundamental and most important step that is usually over simplified in the conceptual stages of design by resorting to a qualitative selection of a baseline configuration based on historical designs and designers perspective. Final aircraft designs are attempted by minor shape modifications to this baseline configuration. This procedure may not

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7

Luo, Yan, and 罗妍. "Three essays on noise and institutional trading." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B44549246.

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8

Envia, Edmane. "Influence of vane sweep on rotor-stator interaction noise." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184609.

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In this dissertation the influence of vane sweep on rotor-stator interaction noise is investigated. In an analytical approach, the interaction of a convected gust, representing the rotor viscous wake, with a cascade of finite span swept airfoils, representing the stator, is analyzed. The analysis is based on the solution of the exact linearized equations of motion. High-frequency convected gusts for which noise generation is concentrated near the leading edge of the airfoils are considered. In a preliminary study, the problem of an isolated finite span swept airfoil interacting with a convecte

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9

Liang, Pei-Ji. "Mathematical models of respiratory control in humans." Thesis, University of Oxford, 1996. http://ora.ox.ac.uk/objects/uuid:567195f2-f911-4188-a1c3-96192fd7b3ee.

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This thesis is concerned with modelling the properties of human ventilation during steady-state conditions and during acute and sustained isocapnic hypoxia. <strong>Chapter 1</strong> reviews some of the relevant studies in animals and humans. <strong>Chapter 2</strong> describes the origins of the data studied in this thesis. In particular, it describes the experimental apparatus and the technique of dynamic end-tidal forcing used to gather the data, as well as the particular protocols employed. <strong>Chapter 3</strong> studies the breath-to-breath variations in ventilation during steady br

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10

Qiu, Jin 1962. "Production control and capacity configuration." Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=28646.

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Production control and capacity configuration policies are critical to a manufacturing firm for effective inventory control. In the first part of this dissertation, a Dynamic Programming model and a solution algorithm are developed to obtain an optimal (near-optimal) production control policy. The solution algorithm is able to produce an extremely good policy under mild conditions, but is applicable only to problems with a limited number of products. For problems involving a large number of products, a heuristic algorithm based on a decomposition/aggregation scheme is then proposed. This algor

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Книги з теми "Noise control Mathematical models"

1

Uosukainen, Seppo. JMC method applied to active control of sound: Theoretical extensions and new source configurations. Espoo [Finland]: Technical Research Centre of Finland, 1999.

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2

Lončarić, J. Optimization of acoustic source strenght in the problems of active noise control. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2002.

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3

1962-, Wagner Claus Albrecht, Hüttl Thomas 1970-, and Sagaut Pierre 1967-, eds. Large-eddy simulation for acoustics. New York: Cambridge University Press, 2007.

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4

Polites, Michael E. The estimation error covariance matrix for the ideal state reconstructor with measurement noise. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1988.

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5

Koenig, David M. Control and analysis of noisy processes. Englewood Cliffs, N.J: Prentice Hall, 1991.

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6

International Seminar on Modal Analysis (19th 1994 Katholieke Universiteit te Leuven). Proceedings ISMA 19, tools for noise and vibration analysis: Conference, September 12-14, 1994. Edited by Sas Paul and Katholieke Universiteit te Leuven (1970- ). Afdeling Mechanische Konstruktie en Produktie. Heverlee, Belgium: Katholieke Universiteit Leuven, Faculty of Engineering, Dept. of Mechanical Engineering, Division of Production Engineering, Machine Design & Automation, 1994.

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7

1969-, Kim Hongjin, ed. Wavelet-based vibration control of smart buildings and bridges. Boca Raton: Taylor & Francis, 2009.

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8

Reynolds, Douglas D. Algorithms for HVAC acoustics. Atlanta, Ga: American Society of Heating, Refrigerating and Air-Conditioning Engineers, 1991.

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9

Dunnett, S. J. The mathematics of blunt body sampling. Berlin: Springer-Verlag, 1988.

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10

Newman, M. E. J. Avalanches, scaling, and coherent noise. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1996.

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Частини книг з теми "Noise control Mathematical models"

1

Tsui, Chia-Chi. "System Mathematical Models." In Robust Control System Design, 1–24. 3rd ed. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003259572-1.

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2

Okuyama, Yoshifumi. "Mathematical Descriptions and Models." In Discrete Control Systems, 1–44. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5667-3_1.

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3

Rahn, Christopher D. "Mathematical Preliminaries." In Mechatronic Control of Distributed Noise and Vibration, 43–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04641-8_3.

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4

Rao, Ming, and Haiming Qiu. "Mathematical Models and Transfer Functions." In Process Control Engineering, 15–54. London: Routledge, 2022. http://dx.doi.org/10.1201/9780203741931-2.

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5

Górecki, Henryk. "Some Fundamental Mathematical Models." In Optimization and Control of Dynamic Systems, 27–90. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62646-8_3.

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6

Feng, Xiangchu, and Xiaolong Zhu. "Models for Multiplicative Noise Removal." In Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 1–34. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-03009-4_60-1.

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7

Rahn, Christopher D. "Distributed Parameter Models." In Mechatronic Control of Distributed Noise and Vibration, 7–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04641-8_2.

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8

Fleming, Wendell H. "Optimal Investment Models and Risk Sensitive Stochastic Control." In Mathematical Finance, 75–88. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4757-2435-6_6.

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9

Radwan, Ahmed G., and Mohammed E. Fouda. "Memristor Mathematical Models and Emulators." In Studies in Systems, Decision and Control, 51–84. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17491-4_3.

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10

Munk, Axel, and Johannes Schmidt-Hieber. "Lower bounds for volatility estimation in microstructure noise models." In Institute of Mathematical Statistics Collections, 43–55. Beachwood, Ohio, USA: Institute of Mathematical Statistics, 2010. http://dx.doi.org/10.1214/10-imscoll604.

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Тези доповідей конференцій з теми "Noise control Mathematical models"

1

Bugaev, Alexander S., Vadim M. Agafonov, and Anna S. Shabalina. "Mathematical Model of the Hydrodynamic Noise in the Electrochemical Microsystems." In 2022 6th International Scientific Conference on Information, Control, and Communication Technologies (ICCT). IEEE, 2022. http://dx.doi.org/10.1109/icct56057.2022.9976734.

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2

Shirazi, Masoud Jahromi, and Nicole Abaid. "Comparing the Effects of Intrinsic and Extrinsic Noise on the Vicsek Model in Three Dimensions." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5303.

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Анотація:

A group of simple individuals may show ordered, complex behavior through local interactions. This phenomenon is called collective behavior, which has been observed in a vast variety of natural systems such as fish schools or bird flocks. The Vicsek model is a well-established mathematical model to study collective behavior through interaction of individuals with their neighbors in the presence of noise. How noise is modeled can impact the collective behavior of the group. Extrinsic noise captures uncertainty imposed on individuals, such as noise in measurements, while intrinsic noise models un

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3

Dobchuk, Jeff W., Richard T. Burton, Peter N. Nikiforuk, and Paul R. Ukrainetz. "Mathematical Modeling of a Variable Displacement Axial Piston Pump." In ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0762.

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Abstract The variable displacement axial piston pump has been the subject of much research, having been studied from the controls, noise reduction, and design perspectives. The resulting body of research is large and very diverse in content. A review of the available publications was conducted for this paper in order to identify those works that would be most helpful in developing a complete and accurate mathematical model of an axial piston pump. Most of the available publications can be classified into one of two general groups; those describing a small group of components to understand spec

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4

Nakagawa, Shuichi, Takayoshi Ichiyanagi, and Takao Nishiumi. "A Consideration on the Behavior of Hydraulic Pressure Ripples in Relation to Hydraulic Oil Temperature." In ASME/BATH 2015 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/fpmc2015-9563.

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It is well known that hydraulic noise can change as a system warms up. That change can be a factor for misperception of mechanical failure, because noise can play an important role as a signal that indicates abnormal operation. It is therefore important to understand the behavior of hydraulic pressure ripples that are a source of hydraulic noise in operating conditions, and how they change in relation to the temperature of the hydraulic oil. This study has investigated the ripple behavior that results from temperature change in simple hydraulic systems, using mathematical models that took ther

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5

Asokanthan, Samuel F., Ye Tian, and Tianfu Wang. "Active Roll Control of Heavy Single Unit Vehicles Employing MEMS Angular Rate Sensors." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35797.

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The present paper is concerned with the use of active roll control to improve the roll stability of heavy road-vehicles and the application of Micro-electro-mechanical System (MEMS) angular rate sensors in the feedback monitoring. For this purpose, mathematical models that represent the roll/yaw dynamics for a torsionally rigid Single Unit Vehicle (SUV) is presented. The state-space models that represent the vehicle dynamics are also developed for the purpose of performing numerical simulations. A linear Quadratic Gaussian (LQG) based controller, using Kalman estimator to estimate certain stat

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6

Quintana, Ricardo A., and Adriana P. Gallego. "The threshold of the difference between a mathematical model applied to active noise control and data recorded." In ICA 2013 Montreal. ASA, 2013. http://dx.doi.org/10.1121/1.4799928.

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7

Khot, S. M., Nitesh P. Yelve, and Raj Nair. "Simulation Study of Active Vibration Control of Cantilever Beam by Using State and Output Feedback Control Laws." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-64041.

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Анотація:

Undesired noise and vibrations have a detrimental effect in many areas. Hence the control of vibrations has become a relevant technological challenge. Active vibration control of structures using smart materials especially is in vogue. It involves sensing the motion of the structure using sensors, generating a control signal using a controller and applying a control force on the structure using actuators. To design the control system of any vibrating structure, the mathematical model of the system is required. However, it is not possible, to theoretically construct the model of complex structu

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8

Lepine, Julien, Michael Sek, and Vincent Rouillard. "Mixed-Mode Signal Detection of Road Vehicle Vibration Using Hilbert-Huang Transform." In ASME 2015 Noise Control and Acoustics Division Conference at InterNoise 2015. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ncad2015-5907.

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The Hilbert-Huang Transform (HHT) is a fully adaptive time-frequency analysis method which is applicable to nonlinear and nonstationary processes. However, this promising method is fairly new and its range of applications is not well known. Furthermore, its mathematical framework is not yet fully developed. So far, the HHT has yielded interesting results for many applications such as biomedical, geophysical, meteorological and health monitoring, but there is no evidence of its application on complex mixed-mode vibration signals. To fill that gap, this paper investigates the application of the

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9

Romashov, V. V., L. V. Romashova, and A. N. Doctorov. "The mathematical model of noise characteristics of a direct digital synthesizer with the built-in multiplier of clock frequency on PLL." In 2015 International Siberian Conference on Control and Communications (SIBCON). IEEE, 2015. http://dx.doi.org/10.1109/sibcon.2015.7147197.

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Osinin, V. F., S. Ya Komolikova, T. A. Gerasimenko, and A. V. Osinin. "Analytical Method for Calculating the Ratio Signal / Atmospheric Radio Noise for Digital VLF Radio Devices Using a Generalized Empirical Model." In 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA). IEEE, 2019. http://dx.doi.org/10.1109/summa48161.2019.8947475.

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Звіти організацій з теми "Noise control Mathematical models"

1

Klymenko, Mykola V., and Andrii M. Striuk. Development of software and hardware complex of GPS-tracking. CEUR Workshop Proceedings, March 2021. http://dx.doi.org/10.31812/123456789/4430.

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The paper considers the typical technical features of GPS-tracking systems and their development, as well as an analysis of existing solutions to the problem. Mathematical models for the operation of hardware and software of this complex have been created. An adaptive user interface has been developed that allows you to use this complex from a smartphone or personal computer. Methods for displaying the distance traveled by a moving object on an electronic map have been developed. Atmega162-16PU microcontroller software for GSM module and GPS receiver control has been developed. A method of dat

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Modlo, Yevhenii O., Serhiy O. Semerikov, Ruslan P. Shajda, Stanislav T. Tolmachev, and Oksana M. Markova. Methods of using mobile Internet devices in the formation of the general professional component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3878.

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The article describes the components of methods of using mobile Internet devices in the formation of the general professional component of bachelor in electromechanics competency in modeling of technical objects: using various methods of representing models; solving professional problems using ICT; competence in electric machines and critical thinking. On the content of learning academic disciplines “Higher mathematics”, “Automatic control theory”, “Modeling of electromechanical systems”, “Electrical machines” features of use are disclosed for Scilab, SageCell, Google Sheets, Xcos on Cloud in

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Tanny, Josef, Gabriel Katul, Shabtai Cohen, and Meir Teitel. Micrometeorological methods for inferring whole canopy evapotranspiration in large agricultural structures: measurements and modeling. United States Department of Agriculture, October 2015. http://dx.doi.org/10.32747/2015.7594402.bard.

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Original objectives and revisions The original objectives as stated in the approved proposal were: (1) To establish guidelines for the use of micrometeorological techniques as accurate, reliable and low-cost tools for continuous monitoring of whole canopy ET of common crops grown in large agricultural structures. (2) To adapt existing methods for protected cultivation environments. (3) To combine previously derived theoretical models of air flow and scalar fluxes in large agricultural structures (an outcome of our previous BARD project) with ET data derived from application of turbulent transp

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Lieth, J. Heiner, Michael Raviv, and David W. Burger. Effects of root zone temperature, oxygen concentration, and moisture content on actual vs. potential growth of greenhouse crops. United States Department of Agriculture, January 2006. http://dx.doi.org/10.32747/2006.7586547.bard.

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Soilless crop production in protected cultivation requires optimization of many environmental and plant variables. Variables of the root zone (rhizosphere) have always been difficult to characterize but have been studied extensively. In soilless production the opportunity exists to optimize these variables in relation to crop production. The project objectives were to model the relationship between biomass production and the rhizosphere variables: temperature, dissolved oxygen concentration and water availability by characterizing potential growth and how this translates to actual growth. As p

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Alchanatis, Victor, Stephen W. Searcy, Moshe Meron, W. Lee, G. Y. Li, and A. Ben Porath. Prediction of Nitrogen Stress Using Reflectance Techniques. United States Department of Agriculture, November 2001. http://dx.doi.org/10.32747/2001.7580664.bard.

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Commercial agriculture has come under increasing pressure to reduce nitrogen fertilizer inputs in order to minimize potential nonpoint source pollution of ground and surface waters. This has resulted in increased interest in site specific fertilizer management. One way to solve pollution problems would be to determine crop nutrient needs in real time, using remote detection, and regulating fertilizer dispensed by an applicator. By detecting actual plant needs, only the additional nitrogen necessary to optimize production would be supplied. This research aimed to develop techniques for real tim

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