Modeling agricultural soil bulk density using artificial neural network and adaptive neuro-fuzzy inference system

Author:

Abbaspour-Gilandeh YousefORCID,Abbaspour-Gilandeh Mohammadreza,Babaie Hassan A.,Shahgoli Gholamhossein

Funder

University of Mohaghegh Ardabili

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Reference39 articles.

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

2. Abbaspour-Gilandeh M, Abbaspour-Gilandeh Y (2019a) Modelling soil compaction of agricultural soils using fuzzy logic approach and adaptive neuro-fuzzy inference system (ANFIS) approaches. Model Earth Syst Environ 5(1):13–20

3. Abbaspour-Gilandeh Y, Abbaspour-Gilandeh M (2019b) Application of computational intelligence methods for predicting soil strength. Acta Technol Agric 22(3):80–85

4. Abbaspour-Gilandeh Y, Ahani M, AskariAsliArdeh E, Rasooli-Sharabiani V, Sofalian O (2010) Design, construction and evaluation of a tractor-mounted soil cone penetrometer with multiple-adjustable-probes. Iran J Agric Eng Res 11(1):19–34

5. Abbaspour-Gilandeh Y, Khakilian A, Hasankhani F (2011) Use of soil EC data for zoning the production field by artificial neural network for applying the precision tillage. Tarim Makinalari Bilimi Dergisi 7(1):27–31

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