8. Noise evaluation of MF285 and U650 tractors by using Adaptive Neuro-Fuzzy Inference Systems (ANFIS) method

Farzad Jaliliantabar1, Hekmat Rabbani2, Alinejat Lorestani3,
Payam Javadikia4, Rashid Gholami5

1, 5Mechanics of Agricultural Machinery Department, Razi University of Kermanshah, Kermanshah, Iran

2, 3, 4Mechanics of Agricultural Machinery Department, Razi University of Kermanshah,
Agricultural Faculty, Imam Khomeini Highway, Kermanshah, 6715685438, Iran

1Corresponding author

E-mail: 1fjaliliantabar@gmail.com, 2hrabani2000@yahoo.com, 3ali.lorestani@gmail.com,
pjavadikia@gmail.com, 5rashidgholami@gmail.com

(Received 5 December 2012; accepted 4 March 2013)

Abstract. In this research ANFIS method has been used to predict sound pressure levels of MF285 and U650 tractors for following machines: moldboard plow, chisel plow, cultivator, rotary tiller, boom-type sprayer, disk harrow and ditcher. Combination of fuzzy logic with architectural design of neural network leads to creation of neuro-fuzzy systems, which benefit from feed forward calculation of output and back-propagation learning capability of neural networks, while keeping interpret-ability of a fuzzy system. An adaptive neuro-fuzzy inference system architecture based on the Takagi-Sugeno model created to modeling of sound pressure level of MF285 and U650 tractors during agricultural operations. The testing performance of the proposed ANFIS model revealed a good predictive capacity to yield acceptable error measures with,  0.917 and also  1.06,  76.11 and  0.7495. The study recommends that the ANFIS technique can be successfully used in estimation of sound pressure level of MF285 and U650 tractors.

Keywords: ANFIS, ergonomy, MF285, sound pressure level, U650.


[1]        Liljedahl J. B., Turnquist P. K., Smith D. W., Hoki M. Tractors and Their Powers Units. Fourth Ed., American Society of Agricultural Engineers, ASAE, Textbook No: 801P0196, 1996.

[2]        Parsons K. C. Environmental ergonomics: a review of principles, methods and models. Applied Ergonomics, Vol. 31, 2000, p. 581‑594.

[3]        Lines J. A., Lee S. R., Stiles M. A. Noise in the countryside. Journal of Agricultural Engineering Research, Silsoe Research Institute, Silsoe, UK, Vol. 57, 1994, p. 251‑261.

[4]        Tezer E., Sabanci A. Agricultural Mechanization I. Cukurova University College of Agriculture, Adana, Publication No. 44, 1997.

[5]        Ekerbicer H., Saltik A. The health consequences of industrial noise and methods for protection. TAF Preventive Medicine Bulletin, Vol. 7(3), 2008, p. 261‑264.

[6]        Matthews J. Measurements of environmental noise in agriculture. Journal of Agricultural Engineering Research, Vol. 13(2), 1968, p. 157‑167.

[7]        Miyakita T., Ueda A. Estimates of workers with noise-induced hearing loss and population at risk. Journal of Sound and Vibration, Vol. 205(4), 1997, p. 441‑449.

[8]        Sieswerda V., Dekker J. C. Deafness caused by tractor noise. Landbouwmechanisatia, Vol. 29, 1978, p. 1‑3.

[9]        Maring J. Tractor Noise, Field Measurements of Noise at Ear Level, P: 15. Research Report of Wageningen University, Wageningen, the Netherlands, 1979.

[10]     Talamo J. D. C. Noise problems in the agricultural industry. Proceedings of the Institute of Acoustics, Vol. 9, 1987, p. 399–402.

[11]     Suggs C. W. Noise Characteristics of Field Equipment. ASAE Paper No. 87-1598, St. Joseph, Mich., ASAE, 1987.

[12]     Brown R. H. Handbook of Engineering in Agriculture. Vol. 2, 1st Ed., Prentice – Hall, Inc., London, UK, 1988.

[13]     Crocker M. J., Ivanov I. N. Noise and Vibration Control in Vehicles. 1st Ed., St. Petersburg, Interpub. Ltd., Russia, 1993.

[14]     Solecki L. Occupational hearing loss among selected farm tractor operators employed on large multi-production farm in Poland. Int. J. Occup. Med. Env. Health, Vol. 11, 1998, p. 69‑80.

[15]     Solecki L. Duration of exposure to noise among farmers as an important factor of occupational risk. Agric. Env. Med., Vol. 7, 2000, p. 89‑93.

[16]     Aybek A., Kamer H., Arslan S. Personal noise exposures of operators of agricultural tractors. Applied Ergonomics, Vol. 41, 2010, p. 274‑281.

[17]     McBride D. I., Firth H. M., Herbison G. P. Noise exposure and hearing loss in agriculture: a survey of farmers and farm workers in the southland region of New Zealand. Journal of Occupational and Environmental Medicine, Vol. 45(12), 2003, p. 1281‑1288.

[18]     Hassan-Beygi S. R., Ghobadian B., Kianmehr M. H., Chayjan R. A. Prediction of a power tiller sound pressure levels in octave frequency bands using artificial neural networks. International Journal of Agriculture & Biology, Vol. 3, 2007, p. 494‑498.

[19]     Acoustics: Agricultural and Forestry Wheeled Tractors and Self-Propelled Machines. Measurement of Noise Emitted when in Motion, ISO 7216, 1992.

[20]     Acoustics: Tractors and Machinery for Agriculture and Forestry Measurement of Noise at Operator’s Position. ISO 5131, AVI Pub. Co., Inc., Westport, CT 527, 1996.

[21]     Barron Randall F. Industrial Noise Control and Acoustics. Marcel Dekker, Inc., 2003, 534 p.

[22]     St. Joseph Mich Agricultural Machinery Management Data. ASAE D497.4 MAR99, 1976.

[23]     Jang J.-S. R., Sun C.-T. Neuro-fuzzy modeling and control. Proceedings of the IEEE, Special Issue on Fuzzy Logic in Engineering Applications, Vol. 83(3), 1995, p. 378‑406.

Cite this article

Jaliliantabar Farzad, Rabbani Hekmat, Lorestani Alinejat, Javadikia Payam, Gholami Rashid Noise evaluation of MF285 and U650 tractors by using Adaptive Neuro-Fuzzy Inference Systems (ANFIS) method. Journal of Measurements in Engineering, Vol. 1, Issue 1, 2013, p. 44‑51.


Journal of Measurements in Engineering. March 2013, Volume 1, Issue 1
© Vibroengineering. ISSN Print 2335-2124, ISSN Online 2424-4635, Kaunas, Lithuania