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Application of Computational Intelligence Methods for Predicting Soil Strength Cover

Application of Computational Intelligence Methods for Predicting Soil Strength

Open Access
|Aug 2019

References

  1. ABBASPOUR-GILANDEH, Y. – ABBASPOUR-GILANDEH, M. 2019. Modelling soil compaction of agricultural soils using fuzzy logic approach and adaptive neuro-fuzzy inference system (ANFIS) approaches. In Modeling Earth Systems and Environment, vol. 5, no. 1, pp. 13–20.10.1007/s40808-018-0514-1
  2. ABBASPOUR-GILANDEH, Y. – ALIMARDANI, R. – KHALILIAN, A. – KEYHANI, A. R. – SADATI, S. H. 2006. Energy requirement of site-specific and conventional tillage as affected by tractor speed and soil parameters. In International Journal of Agriculture and Biology, vol. 8, no. 4, pp. 499–503.
  3. ABBASPOUR-GILANDEH, Y. – AHANI, M. – ASKARI ASLI ARDEH, E. – RASOOLI-SHARABIANI, V. – SOFALIAN, O. 2010. Design, construction and evaluation of a tractor-mounted soil cone penetrometer with multiple-adjustable-probes. In Iranian Journal of Agricultural Engineering Research, vol. 11, no. 1, pp. 19–34.
  4. ABBASPOUR-GILANDEH, Y. – KHALILIAN, A. – HASANKHANI, F. 2011. Use of soil EC data for zoning the production field by artificial neural network for applying the precision tillage. In Journal of Agricultural Machinery Science, vol. 7, no. 1, pp. 27–31.
  5. ABBASPOUR-GILANDEH, Y. – RAHIMI-AJDADI, F. 2016. Design, construction and field evaluation of a multiple blade soil mechanical resistance sensor. In Soil and Tillage Research, vol. 157, pp. 93–100.10.1016/j.still.2015.11.013
  6. ASAE Standard S313.2: 1998. Soil cone penetrometer, 45th ed. St. Joseph, Mich.: ASAE.
  7. BAYAT, H. – SHEKLABADI, M. – MORADHASELI, M. – EBRAHIMI, E. 2017. Effects of slope aspect, grazing, and sampling position on the soil penetration resistance curve. In Geoderma, vol. 303, pp. 150–164.10.1016/j.geoderma.2017.05.003
  8. CLARK, R. L. 1999. Evaluation of the potential to develop soil strength maps using a cone penetrometer. ASAE paper No. 99–3109, ASAE, St. Joseph, Mich. 49085, USA.
  9. FAURE, A. G. – DA MATA, J. D. V. 1994. Penetration resistance value along compaction curves. In Journal of Geotechnical Engineering, vol. 120, pp. 46–59.10.1061/(ASCE)0733-9410(1994)120:1(46)
  10. GAUTAM, R. K. – PANIGRAHI, S. – FRANZEN, D. 2003. Neural network models for soil nitrate prediction using imagery and non–imagery information. ASAE Paper No. 033065, ASAE, St. Joseph, MI.
  11. GOH, A. 1995. Back-propagation neural network for modeling complex systems. In Artificial Intelligence in Engineering, vol. 9, pp. 143–151.10.1016/0954-1810(94)00011-S
  12. HEMMAT, A. – RAHNAMA, T. – VAHABI, Z. 2014. A horizontal multiple-tip penetrometer for on-the-go soil mechanical resistance and acoustic failure mode detection. In Soil and Tillage Research, vol. 138, pp. 17–25.10.1016/j.still.2013.12.003
  13. HENDERSON, C. – LEVETT, A. – LISLE, D. 1988. The effect of soil water content and bulk density on the compactability and soil penetration resistance of some Western Australian sandy soils. In Australian Journal of Soil Research, vol. 26, pp. 391–400.10.1071/SR9880391
  14. KUSHWAHA, R. – ZHANG, Z. X. 1998. Evaluation of factors and current approaches related to computerized design of tillage tools: a review. In Journal of Terramechanics, vol. 35, pp. 69–86.10.1016/S0022-4898(98)00013-5
  15. LEVINE, E. R. – KIMES, D. S. – SIGILLITO, V. G. 1996. Classifying soil structure using neural networks. In Journal of Ecological Modelling, vol. 92, pp. 101–108.10.1016/0304-3800(95)00199-9
  16. MATLAB. 1994. Neural Network TOOLBOX. Natick, MA: The Mathworks Inc.
  17. MULQEEN, J. – STAFFORD, J. V. – TANNER, D. W. 1977. Evaluation of penetrometers for measuring soil strength. In Journal of Terramechanics, vol. 14, no. 3, pp. 137–151.10.1016/0022-4898(77)90012-X
  18. OZOEMENA, A. A. – UZOEJINWA, B. B. – EZEAMA, A. O. – ONWUALU, A. P. – UGWU, S. N. – OHAGWU, C. J. 2018. Overview of soil-machine interaction studies in soil bins. In Soil and Tillage Research, vol. 175, pp. 13–27.10.1016/j.still.2017.08.002
  19. RAPER, R. L. – ASMUSSEN, L. E. – POWELL, J. B. 1990. Sensing hard pan depth with ground-penetrating radar. Transactions of the ASAE, vol. 33, no. 1, pp. 41–46.10.13031/2013.31291
  20. SANTOS, F. L. – MENDES DE JESUS, V. A. – VALENTE, D. S. M. 2012. Modeling of soil penetration resistance using statistical analyses and artificial neural networks. In Acta Scientiarum: Agronomy, vol. 34, no. 2, pp. 219–224.10.4025/actasciagron.v34i2.11627
  21. UPADHYAYA, S. K. – CHANCELLOR, W. J. – PERUMRAL, J. V. – SCHAFER, R. L. – GILL, W. R. – VANDENBERG, G. E. 1994. In Advances in Soil Dynamics (Vol. 1). American Society of Agricultural Engineers. VARGA, F. – MOJŽIŠ, M. – ABRAHÁM, R. 2013. Soil resistance and its impact on tillage depth. In Acta Technologica Agriculturae, vol. 16, no. 1, pp. 26–30.10.2478/ata-2013-0007
Language: English
Page range: 80 - 85
Published on: Aug 8, 2019
Published by: Slovak University of Agriculture in Nitra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Yousef Abbaspour-Gilandeh, Mohammadreza Abbaspour-Gilandeh, published by Slovak University of Agriculture in Nitra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.