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Inicio Revista Iberoamericana de Automática e Informática Industrial RIAI La Nariz Electrónica: Estado del Arte
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Vol. 6. Núm. 3.
Páginas 76-91 (julio 2009)
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Vol. 6. Núm. 3.
Páginas 76-91 (julio 2009)
Open Access
La Nariz Electrónica: Estado del Arte
Visitas
10758
Iveth Moreno
, Rony Caballero
, Ramón Galán**, Fernando Matía**, Agustín Jiménez**
* Universidad Tecnológica de Panamá, Avenida Universidad Tecnológica de Panamá, Panamá
** Departamento de Automática, Ingeniería Electrónica e Informática, Universidad Politécnica de Madrid, C/ José Gutiérrez Abascal, n°2, 28006, Madrid, España
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En este trabajo se presenta el estado del arte de los sistemas olfativos artificiales o narices electrónicas, su funcionamiento y algunas de sus aplicaciones. Además, se revisa el concepto de olfato electrónico, pasando por sus aplicaciones más relevantes. Posteriormente, se analizan las similitudes del funcionamiento de la nariz electrónica con el sistema del olfato humano. Finalmente, se incluyen los conceptos más importantes relacionados con la instalación de narices electrónicas sobre robots móviles, destacando sus consiguientes aplicaciones.

Palabras clave:
nariz electrónica
sensor de olor
técnicas de reconocimiento de patrones
robots móviles.
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Referencias
[Airsense and Analytics., 2007]
Airsense Analytics. “Applications” (en línea). Alemania. http://www.airsense.com/english/index_e.html.(Consulta: 3 de marzo de 2007).
[Aleixandre et al., 2008]
M. Aleixandre, J. Lozano, J. Gutiérrez, I. Sayago, M.J. Fernández, M.C. Horrillo.
Portable e-nose to classify different kinds of wine. Sensors and Actuators B: Chemical.
Volume, 131 (2008), pp. 71-76
[Alpha, 2006]
Alpha M.O.S. Multi Organoleptic Systems. “Applications” (en línea),.(2006). http://www.alpha-mos.com/. Consulta: 3 de marzo de 2007).
[Arkin, 1998]
R.C. Arkin, colaborador Michael Arbib.
Behavior-Based Robotics.
MIT Press, (1998),
[Benedeti, Mannino, Sabatini, Marcazzan, 2004]
S. Benedeti, S. Mannino, A.G. Sabatini, G.L Marcazzan.
Electronic nose and neural network use for the classification of Honey.
Apidologie 35, (2004),
[Bermak et al., 2006]
A. Bermak, B.S. Belhouri, M. Shi, D. Martínez.
Pattern Recognition Techniques for Odor Discrimination in Gas Sensor Array.
Encyclopedia of Sensors. Volume, 10 (2006), pp. 1-17
[Bhattacharyya et al., 2004]
N. Bhattacharyya, B. Tudu, R. Bandyopadhyay, M. Bhuyan, R. Mudi.
Aroma Characterization of Orthodox Black Tea with Electronic Nose.
TENCON 2004, 2004 IEEE Region 10 Conference, Volume 2 (2004), pp. 427-430
[Boyle, 2006]
B. Boyle, operations vicepresidente of Owlstone.
Electronic nose that sniffs out trouble.
Horizon, (2006),
[Bosch, 2001]
Bosch S. R., Director de Tesis Jesús Brezmes (2001): Tesis Doctoral, Diseño y Realización de una nariz electrónica para la discriminación de aceites. Universitat Rovira I Virgili. España.
[Brezmes et al., 2005]
J. Brezmes, P. Cabré, S. Rojo, E. Llobet, X. Vilanova, X. Correig.
Discrimination between different simples of olive oil using variable selection techniques and modified Fuzzy Artmap Neural Networks.
IEEE Sensors Journal, Volume 5 (2005), pp. 463-470
[Broxvall et al., 2006]
M. Broxvall, S. Coradeschi, A. Loufti, A. Saffiotti.
An ecological Approach to Odour Recognition in Intelligent Environments Center for Applied Autonomous Sensor Systems.
Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), pp. 2066-2071
[Busto et al., 2002]
O. Busto, M.P. Martí, J. Guasch.
La nariz electrónica en el Control de Calidad de los Vinos.
Tecnología del vino, (2002), pp. 31-36
[Canhoto et al., 2004]
O. Canhoto, F. Pinzari, C. Fanelli, N. Magan.
Application of electronic nose technology for the detection of fungal contamination in library paper.
International Biodeterioration & Biodegradation, Volume 54 (2004), pp. 303-309
[Charumporn and Omatu, 2002]
B. Charumporn, S. Omatu.
Classifying Smokes Using an Electronic Nose and Neural Networks.
IEEE Proceedings of the 41st SICE Annual Conference, pp. 2661-2665
[ChemSensing and Inc., 2007]
ChemSensing, Inc. “Bacteria Identification and Clinical Trials” (en línea), (2007). http://www.chemsensing.com/.(Consulta: 3 de marzo de 2007).
[Correa et al., 2005]
Correa E. C., Barreiro P., Ruíz-Altisent M., Chamorro C., (2005): Nariz Electrónica ¿Herramienta para la Calidad en la Industris Agroalimentaria? 2° Congreso Nacional de Calidad Alimentaria. Sectores Agroganadero y Pesquero. Jerez de la Frontera. España.
[Cortijo, 2003]
F. Cortijo.
Técnicas Supervisadas, Aproximación no Paramétrica.
Reconocimiento de patrones. Universidad de Granada. España, (2003),
[Cui et al., 2004]
X. Cui, T. Hardin, R.K. Ragade, A.S. Elmaghraby.
A Swarm-based Fuzzy Logic Control Mobile Sensor network for Hazardous Contaminants Localization.
IEEE International Conference on Mobile Ad-hoc and Sensor Systems, pp. 194-203
[D’Amico et al., 2008]
A. D’Amico, C. Di Natale, R. Paolesse, A. Macagnano, E. Martinelli, G. Pennazza, M. Santonico, M. Bernabei, C. Roscioni, G. Galluccio, R. Bono, E. Finazzi Agrò, S. Rullo.
Olfactory systems for medical applications.
Sensors and Actuators B: Chemical, Volume 130 (2008), pp. 458-465
[Díaz, 2006]
Díaz J. A. (2006): “Vulcanología: invento de una nariz electrónica capaz de oler gases” (en línea). Centro de Alta Tecnología de San José, Costa Rica. Turcon. http://turcon.blogia.com/2006/030803-vulcanologia-inventode- una-nariz-electronica-capaz-de-oler-los-gases.php.(Consulta: 24 de abril de 2007).
[Distante et al., 2003]
C. Distante, I. Ancona, P. Siciliano.
Support vector machines for olfactory signals recognition. Sensors and Actuators B: Chemical.
Volume, 88 (2003), pp. 30-39
[Durán and Director de Tesis Jesús Brezmes, 2005]
Durán C. M. A., Director de Tesis Jesús Brezmes (2005): Tesis Doctoral, Diseño y optimización de los subsistema de un sistema de olfato electrónico para aplicaciones agroalimentarias e industriales. Universitat Rovira I Virgili. España.
[e-Biometria., 2007]
e-Biometria. “Glosario” (en línea), 2007. http://www.ebiometria.com/glosario/glosario.htm.(Consulta: 10 de abril de 2007).
[EADS, 2007]
EADS RST. “Productos & Services” (en línea). http://www.rstrostock. de/.(Consulta: 9 de marzo de 2007).
[Eklöv et al., 1998]
T. Eklöv, G. Johansson, F. Winquist, I. Lundström.
Monitoring Sausage Fermentation Using an Electronic Nose.
Journal of the Science of Food and Agriculture, Volume 76 (1998), pp. 525-532
[El Barbri et al., 2008]
N. El Barbri, E. Llobet, N. El Bari, X. Correig, B. Bouchikhi.
Application of a portable electronic nose system to assess the freshness of Moroccan sardines.
Materials Science and Enginering: C, Volume 28 (2008), pp. 666-670
[Electronic Sensor and Technology., 2007]
Electronic Sensor Technology. “Applications: Homeland Security”, (en línea), (2007). http://www.estcal.com/homeland.htm.(Consulta: 10 de Julio de 2007).
[Environics., 2007]
Environics. “products” (en línea). http://www.wnvironics.fi/.(Consulta: 9 de marzo de 2007).
[Feldhoff et al., 2000]
R. Feldhoff, C.A. Saby, P. Bernadet.
Detection of perfumes in diesel fuels with semiconductor and massspectrometry based electronic noses..
Flavour and Fragance Journal, Volume, 15 (2000), pp. 215-222
[Figaro Group, 2008]
Figaro Group (2008). General Information for TGS Sensors: Technical Information on Usage of TGS Sensors for Toxic and Explosive Gas Leak Detectors.
[Fraden, 2004]
J. Fraden.
Handbook of Modern Sensors Physics, Designs and Applications.
3th Edition, Springer, (2004),
[Gardner and Barlett, 1999]
J.W. Gardner, P.N. Barlett.
Electronic Noses: Principles and Applications.
Oxford University Press, (1999),
[Gardner et al., 2000]
J.W. Gardner, H.S. Woo, E.L. Hines, C.S. Dow.
An electronic nose system for monitoring the quality of potable water.
Sensors and Actuators B: Chemical, Volume 69 (2000), pp. 336-341
[González et al., 2004]
E.A. González, F.G.M. Mascenon, A.J. Magpantay, C.C.K. Go, M.J.C. Lorenzo, A.N. Santos.
An autonomous mobile olfactory robots for the localization of chemical leak.
TENCON 2004. IEEE Region 10 Conference, Volume, 4 (2004), pp. 475-478
[Goschnick et al., 2005]
J. Goschnick, I. Koronczi, M. Frietsch, I. Kiseley.
Water pollution recognition with the electronic nose KAMINA.
Sensors and Actuators B: Chemical, Volume 106 (2005), pp. 182-186
[Griffin, 2003]
Griffin M. “Electronic Noses: Multisensor Arrays” (en línea), 2003. The Coffee Research Insitute : Coffee Chemistry Studies and Coffee Science Experiments. http://www.coffeeresearch.org/science/ourresearch.htm.(Consulta: 22 de febrero de 2007).
[Gutiérrez et al., 1999]
F.J. Gutiérrez, M.C. Horrillo, I. Sayazo, L. Ares, M.J. Fernández, R. Gómez.
Análisis Instrumental 4ta. Jornada de Instrumentación y Control de Procesos.
España, (1999),
[Gutiérrez-Osuna, 2002]
R. Gutiérrez-Osuna.
Pattern Analysis for machine olfaction: a review.
Sensors Journal, IEEE, Volume 2 (2002), pp. 189-202
[Gutiérrez-Osuna et al., 2003]
R. Gutiérrez-Osuna, G.A. Gutiérrez, N. Powar.
Transient response análisis for temperatura-modulated chemoresistors.
Sensors and Actuators B: Chemical, Volume 93 (2003), pp. 57-66
[Hai and Wang, 2006]
Z. Hai, J. Wang.
Detection of adulteration in camellia seed oil and sesame oil using an electronic nose.
Eur. J. Lipid Sci. Technol., Volume 108 (2006), pp. 116-124
[Hannawati and Russell, 2005]
A.P. Hannawati, R.A. Russell.
Congregation Behavior in a Robot Swarm Using Pheromone Communication.
Proceedings of the 2005 Australasian Conference on Robotics and Automation,
[Hayes et al., 2002]
A.T. Hayes, A. Martinoli, M.R. Goodman.
Distributed Odour Source Localization.
IEEE Sensors Journal, Volume 2 (2002),
[Hines et al., 1999]
E.L. Hines, E. Llobet, J.W. Gardner.
Electronic noses: a review of signal processing techniques.
IEE Proc. -Circuits Devices Syst., Volume 146 (1999), pp. 297-310
[Hogan et al., 2005]
W.R. Hogan, G.F. Cooper, M.M. Wagner, G.L. Wallstrom.
An Inverted Gaussian Plume Model for Estimating the Location and Amount of Release of Airbone Agents from Downwind Atmospheric Concentratios.
The RODS Laboratory, University of Pittsburgh, (2005),
[INFIC, 2007]
INFICON. “Emergency Response and Security” (en línea), (2007). http://www.inficon.com.(Consulta: 15 de marzo de 2007).
[IO Ion Explorer by and Ramen., 2007]
IONER Ion Explorer by Ramen. “Aplications & Scenarios” (en línea), (2007). http://www.ioner.net.(Consulta: 17 de marzo de 2007).
[Ishida et al., 2004]
H. Ishida, H. Tanaka, H. Taniguchi, T. Moriizumi.
Mobile Robot Navigation Using Vision and Olfaction to Search for a Gas/Odor.
Proceedings of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 313-318
[Ishida et al., 2005]
H. Ishida, G. Nakayama, T. Nakamoto, T. Moriizumi.
Controlling a Gas/Odor Plume-Tracking Robot Based on Transient Responses of Gas Sensors.
IEEE Sensors Journal, Volume 5 (2005),
[Iskandarani and Shilbayeh, 2005]
M.Z. Iskandarani, N.F. Shilbayeh.
Design and Analysis of a Smart MultiPurpose Electronic Nose System.
Journal of Computer Science, Volume 1 (2005), pp. 63-71
[Jatmiko et al., 2005]
W. Jatmiko, Y. Ikemoto, T. Matsuno, T. Fukuda.
Distributed Odor Source Localization in Dynamic Environment.
Sensors, 2005, (2005),
[Keller et al., 1995]
P.E. Keller, L.J. Kangas, L.H. Liden, S. Hasmen, R.T. Kouzes.
Electronic Noses and their Applications. Neural Network Applications Studies Workshop.
IEEE Northcon/Technical Applications Conference (TAC’95),
[Kim et al., 2006]
N. Kim, Byun Hyung-Gi, K.H. Kwon.
Learning Behaviors of Stochastic Gradient Radial Basis Function Network Algorithms for Odor Sensig Systems.
ETRI Journal, Volume 28 (2006), pp. 59-66
[Lamagna Al et al., 2008]
Lamagna Al, S. Reich, D. Rodríguez, A. Boselli, D. Cicerone.
The use of an electronic nose to characterize emissions from a highly polluted river.
Sensors and Actuators B: Chemical, Volume 131 (2008), pp. 121-124
[Lebrun et al., 2008]
M. Lebrun, A. Plotto, K. Goodner, M.-N. Ducamp, E. Baldwin.
Discrimination of mango fruit maturity by volatiles using the electronic nose and gas chromatography.
Postharvest biology and technology, Volume 48 (2008), pp. 122-131
[Li and Wang, 2006]
C.W. Li, G.D. Wang.
The Research on Artificil Olfaction System-Electronic Nose.
Journal of Physics: Conference Series, 48 (2006), pp. 667-670
[Lilienthal and Duckett, 2003a]
A. Lilienthal, T. Duckett.
Experimental Analysis of Smelling Braitenberg Vehicles.
Proceedings of the IEEE International Conference on Advanced Robotics,
[Lilienthal and Duckett, 2003b]
A. Lilienthal, T. Duckett.
Gas Source Localisation by Constructing Concentration Gridmaps with a Mobile Robot. ECMR-2003.
Europe Conference on Mobile Robots,
[Loufti et al., 2005]
A. Loufti, S. Coradeschi, A. Saffiotti.
Maintaining Coherent Perceptual Information Using Anchoring.
Proc. of the 19th International Joint Conference on Artificial Intelligence,
[Loufti and Coradeschi, 2006]
A. Loufti, S. Coradeschi.
Smell, think and act: A cognitive robot discriminating odours.
Auton Robot, Volume 20 (2006), pp. 239-249
[Maekawa et al., 2001]
T. Maekawa, K. Cai, K. Suzuki, N. Dougami, T. Takada, M. Egashira.
Compensatory methods for the odor concentration in an electronic nose system using software and hardware.
Sensors and Actuators B: Chemical, Volume 76 (2001), pp. 430-435
[Marques et al., 1998]
L. Marques, A.T.de Almeida.
Application of Odor Sensors in Mobile Robotics.
Autonomous Robotic Systems, (1998), pp. 82-95
[Marques et al., 2006]
L. Marques, U. Nunes, A.T. de Almeida.
Particle Swarm-based olfactory guided search.
Auton Robot 2006, Volume 20 (2006), pp. 277-287
[Martinez et al., 2006]
D. Martinez, O. Rochel, E. Hugues.
A biometic robot for tracking specific odors in turbulent plumes.
Auton Robot 2006, Volume 20 (2006), pp. 185-195
[Masulli et al., 2002]
F. Masulli, M. Pardo, G. Sberveglieri, G. Valentín.
Boosting and Classification of Electronic Nose Data. Multiple Classifier Systems: Third International Workshop.
MCS 2002. Springer-Verlag Berlín Heidelberg, Volume 2364/2002 (2002), pp. 683-686
[Miekisch et al., 2004]
W. Miekisch, J.K. Schubert, G.F.E. Noeldge-Schomburg.
Diagnostic potential of breath analysis-Focus on volatile organic compounds.
Clinica Chimica Acta, Volume 347 (2004), pp. 25-39
[Mildner-Szkudlarz and Jelén, 2008]
S. Mildner-Szkudlarz, H.H. Jelén.
The potential of different techniques for volatile compounds analysis coupled with PCA for the detection of the adulteration of olive with hazelnut oil. ScienceDirect.
Food Chemistry, Volume 110 (2008), pp. 751-761
[Moreno and López, 2004]
Moreno M. N. y López V. F., (2004). Uso de Técnicas no Supervisadas en la Construcción de Modelos de Clasificación en Ingeniería del Software. Tendencias de la Minería de Datos en España. R. Giradles, J.C. Riquelme, J.S. Aguilar- Ruíz (eds.), 143-153.
[Nagle et al., 2002]
Nagle H. T., Gutiérrez-Osuna R., Kermani B. G. and Schiffman S. S., (2002). Environmental Monitoring. To appear in Handbook Machine Olfaction: Electronic Nose Technology, Wiley-VCH.
[Pan et al., 2007]
L. Pan, R. Liu, S. Peng, Y. Chai, S. Yang.
An wireless electronic nose network for odours around livestock farms. IEEE.
14th International Conference on Mechatronics and Machine Vision in Practice, pp. 211-216
[Payá, 2006]
Payá A. “Fundamentos y Funciones de la Espectrometría de Masa” (en línea), (2006). Universidad de Valencia, Facultad de Farmacia, Departamento de Química Analítica. http://mural.uv.es/caloan/.(Consulta: 21 de febrero de 2007).
[Pearce et al., 2003]
T.C. Pearce, S.S. Schiffman, H.T. Nagle, J.W. Gardner.
Handbook of Machine Olfaction.
Electronic Nose Technology., (2003), pp. Wiley-Vch
[Persaud and Dodd, 1982]
K. Persaud, G. Dodd.
Analysis of discrimination mechanisms of the mammalian olfactory system a model nose.
Nature, Volume, 299 (1982), pp. 352-355
[Persaud et al., 2006]
K.C. Persaud, A.M. Pisanelli, P. Evans, P.J. Travers.
Monitoring urinary tract infections and bacterial vaginosis.
Sensors and Actuators B: Chemical, Volume, 116 (2006), pp. 116-120
[Pinheiro et al., 2002]
C. Pinheiro, C.M. Rodríguez, Schäfer, G.J. Crespo.
Monitoring the Aroma Production during Wine-Must Fermentation with an Electronic Nose. Biotechnology and Bioengineering.
Volume, 77 (2002), pp. 632-640
[Pyk et al., 2006]
P. Pyk, S.B. Bermúdez, U. Bernardet, P. Knüsel, M. Carlsson, J. Gu, E. Chanie, B.S. Hansson, T.C. Pearce, P.F.M.J. Verschure.
An artificial moth: Chemical source localization using a robot based neuronal model of moth optomotor anemotactic search.
Auton Robot, Volume 20 (2006), pp. 197-213
[Rani and Sidek, 2004]
R.A. Rani, O. Sidek.
ISFET pH Sensor characterization: towards Biosensor Microchip Application.
TENCON 2004. IEEE Region 10 Conference, Volume 4 (2004), pp. 660-663
[Reinhard et al., 2008]
H. Reinhard, F. Sager, O. Zoller.
Citrus juice classification by SPME-GC-MS and electronic nose measurements.
LWT-Food Science and Technology, Volume 41 (2008), pp. 1906-1912
[Rodríguez –Gil, 2004]
G. Rodríguez –Gil.
El Poderoso Sentido del Olfato.
En Resources, Volumen 11 (2004),
[Rubinson and Rubinson, 2001]
K.A. Rubinson, J.F. Rubinson.
Análisis Instrumental.
Prentice Hall, (2001),
[Ryan, 2001]
M. Ryan.
Sniffing Out Air Quality with an Electronic Nose.
Space Life Sciences Research Higlights, NASA, (2001),
[Saevels et al., 2004]
S. Saevels, A.Z. Berna, J. Lammertyn, C. Di Natale, B.M. Nicolai.
Characterisation of QMB sensors by means of the BET adsorption isotherm.
Sensors and Actuators B: Chemical, Volume 101 (2004), pp. 242-251
[Scensive and Technology., 2006]
Scensive Technology. “Products&Services” (en línea), 2006. http://www.scensive.com/.(Consulta: 15 de marzo de 2007).
[Skoog et al., 2005]
D.A. Skoog, D.M. West, F.J. Holler, S.R. Crouch.
Fundamentos de Química Analítica.
Octava Edición. Thomson, (2005),
[Sohn et al., 2008]
J.H. Sohn, N. Hudson, E. Gallagher, M. Dunlop, L. Zeller, M. Atzeni.
Implementation of an electronic nose for continuous odour monitoring in a poultry shed.
Sensors and Actuators B: Chemical, Volume 133 (2008), pp. 60-69
[Staples, 2000]
Staples E. J., (2000). The zNoseTM A new electronic nose using acoustic technology. Acoustical Society of America. Paper number 2aEA4.
[Staples, 2007]
Staples E. J. “Analysis of Odors from Explosives using an Electronic Nose”, Electronic Sensor Technology (en línea), 2007. http://www.znose.jp/pdf/Odors_of_Explosives1.pdf.(Consulta: 10 de Julio de 2007).
[Staples and Landon, 2007]
Staples E. J. and Landon C. “Detection of Pulmonary Infections in Cystic Fibrosis Patients Using the zNose, an Ultra-fast Gas Chromatograph” (en línea), 2007. http://www.estcal.com/TeachPapers/LifeScience/CysticFibro sis.pdf.(Consulta: 10 de Julio de 2007).
[Stetter and Penrose, 2001]
Stetter J. R. and Penrose W. R. “The Electrochemical Nose” (en línea), (2001). Electrochemistry Enciclopedia. Departamento of Biological, Chemical and Physical Sciences Illinois Institute of Technology Chicago. http://electrochem.cwru.edu/ed/encycl/art-n01-nose.htm.(Consulta: 20 de febrero de 2007).
[Stewart et al., 2003]
Stewart R. L., Russell R. A. and Kleeman L., (2003). Recognition and Discrimination of Ethanol and Methanol Odour with Applications for Robotic Swarm Control. Dept. Elect. And Computer Systems Engineering, Academia Research Forum, Monash University.
[Technobiochip., 2007]
Technobiochip. “Biological Area-Electronic Nose” (en línea). http://www.techbiochip.com.(Consulta: 16 de marzo de 2007).
[Tikk et al., 2008]
K. Tikk, J.-E. Haugen, H.J. Andersen, M.D. Aaslung.
Monitoring of warmed-over flavour in pork using the electronic nose-correlation to sensory attributes and secondary lipid oxidation products.
Meat Science. Volume, 80 (2008), pp. 1254-1263
[Universidad Tecnológica de Pereira, 2007]
Universidad Tecnológica de Pereira.
Análisis de la Separabilidad Lineal de una Base de Datos.
Scientia et Technica Año, XIII (2007), pp. 527-532
[Zhang et al., 2008a]
H. Zhang, J. Wang, Y. Sheng.
Predictions of acidity, soluble solids and firmness of pear using electronic nose technique.
ScienceDirect, Journal of Food Engineering, Volume 86 (2008), pp. 370-378
[Zhang et al., 2008b]
H. Zhang, J. Wang, Y. Sheng, M. Chang.
Evaluation of peach quality indices using an electronic nose by MLR, QPST and BP network.
Sensors and Actuators B: Chemical, Volume 134 (2008), pp. 332-338
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