Modelling soil compaction of agricultural soils using fuzzy logic approach and adaptive neuro-fuzzy inference system (ANFIS) approaches

Author:

Abbaspour-Gilandeh Mohammadreza,Abbaspour-Gilandeh YousefORCID

Funder

University of Mohaghegh Ardabili

Publisher

Springer Science and Business Media LLC

Subject

Computers in Earth Sciences,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,General Environmental Science

Reference21 articles.

1. Abbaspour-Gilandeh Y, Sedghi R (2015) Predicting soil fragmentation during tillage operation using fuzzy logic approach. J Terrramech 57(2015):61–69

2. Abbaspour-Gilandeh Y, Shaygani-Soltanpour AR (2014) Soil cone index prediction using artificial neural networks model and its comparison with regression models. J Soil Manag Sustain Prod 4(2):187–203 (in Persian)

3. Abbaspour-Gilandeh Y, Alimardani R, Khalilian A, Keyhani AR, Sadati SH (2006) Energy requrement of site-specific and conventional tillage as affected by tractor speed and soil parameters. Int J Agric Biol 8(4):499–503

4. 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 multipleadjustable-probes. J Agric Eng Res 11(1):19–34 (in Persian)

5. 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. J Agric Mach Sci (Tarim Makinalari Bilimi Dergisi) 7(1):27–31

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