Application of Computational Intelligence Methods for Predicting Soil Strength

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/s40808-018-0514-1Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

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.2015.11.013Search in Google Scholar

ASAE Standard S313.2: 1998. Soil cone penetrometer, 45^th ed. St. Joseph, Mich.: ASAE.Search in Google Scholar

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.2017.05.003Search in Google Scholar

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.Search in Google Scholar

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)Search in Google Scholar

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.Search in Google Scholar

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-SSearch in Google Scholar

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.2013.12.003Search in Google Scholar

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/SR9880391Search in Google Scholar

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)00013-5Search in Google Scholar

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)00199-9Search in Google Scholar

MATLAB. 1994. Neural Network TOOLBOX. Natick, MA: The Mathworks Inc.Search in Google Scholar

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-XSearch in Google Scholar

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.2017.08.002Search in Google Scholar

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. 41–46.10.13031/2013.31291Search in Google Scholar

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.v34i2.11627Search in Google Scholar

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-2013-0007Search in Google Scholar