Measuring and Comparing Forces Acting on Moldboard Plow and Para-Plow with Wing to Replace Moldboard Plow with Para-Plow for Tillage and Modeling It Using Adaptive Neuro-Fuzzy Interface System (ANFIS)

Mohammadreza Abbaspour-Gilandeh, Gholamhossein Shahgoli, Yousef Abbaspour-Gilandeh, Miguel Apolonio Herrera-Miranda, José Luis Hernández-Hernández and Israel Herrera-Miranda
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Mohammadreza Abbaspour-Gilandeh: Department of Biosystems Engineering, College of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil 56199-11367, Iran
Gholamhossein Shahgoli: Department of Biosystems Engineering, College of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil 56199-11367, Iran
Yousef Abbaspour-Gilandeh: Department of Biosystems Engineering, College of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil 56199-11367, Iran
Miguel Apolonio Herrera-Miranda: Graduate Program in Applied Statistics, Faculty of Mathematics, Autonomous University of Guerrero, Acapulco 39650, Mexico
José Luis Hernández-Hernández: Division of Research and Graduate Studies, TecNM/Technological Institute of Chilpancingo, Chilpancingo 39070, Mexico
Israel Herrera-Miranda: Graduate Program in Applied Statistics, Government and Public Management Faculty, Autonomous University of Guerrero, Chilpancingo, Guerrero 39087, Mexico

Agriculture, 2020, vol. 10, issue 12, 1-12

Abstract: The objective of this study was to measure the draft, vertical, and lateral forces acting on the moldboard plow, para-plow without a wing, para-plow with forward-bent wing, and para-plow with a backward-bent wing at three working depths and three forward speeds in clay loam soil to investigate the use of a suitable para-plow instead of the moldboard plow. Also, modeling the draft, vertical, and lateral forces acting on the implements using Adaptive Neuro-Fuzzy Interface System (ANFIS) was another objective of this research. To measure the draft, vertical, and lateral forces, a three-point hitch dynamometer was used. The results showed that, with the increment of the forward speed and working depth, the draft force required by the used implements increased. This increase was also true for vertical and lateral forces acting on the implements. Modeling of the draft, vertical, and lateral forces acting on the implements was performed using the effective parameters of the implements, working depth, and forward traveling speed using the (ANFIS) fuzzy neural system model. The root mean square error (RMSE) for the draft, vertical, and lateral forces for the above models were obtained equal to 0.121, 0.014, and 0.016, respectively.

Keywords: moldboard plow; para-plow; draft force; fuzzy neural system (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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