2001
DOI: 10.1016/s0168-1699(00)00177-0
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A program for predicting tractor performance in Visual C++

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Cited by 30 publications
(8 citation statements)
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“…The computational simulation of the traction performance favors the factors that interfere in the operational efficiency of agricultural tractors without field trials (Al-Hamed & Al-Janobi, 2001). Several researches have been carried out to develop models to predict traction efficiency and stability of tractor-implement set and for the development of computational simulation tools (Abu-Hamdeh & Al-Jalil, 2004;Catalán, Lineares, & Méndez, 2008;Sahu & Raheman, 2008;Tiwari et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…The computational simulation of the traction performance favors the factors that interfere in the operational efficiency of agricultural tractors without field trials (Al-Hamed & Al-Janobi, 2001). Several researches have been carried out to develop models to predict traction efficiency and stability of tractor-implement set and for the development of computational simulation tools (Abu-Hamdeh & Al-Jalil, 2004;Catalán, Lineares, & Méndez, 2008;Sahu & Raheman, 2008;Tiwari et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…The rapid progress in developing new software and trend in enhancing the existing application software and programming languages facilitated the interaction between users and computers . A lot of research was conducted in developing computer‐based models and simulation programs to meet educational and research needs in the farm machinery branch of agricultural engineering .…”
Section: Introductionmentioning
confidence: 99%
“…Simulation software to predict tractor performances was developed from different programming tools . Presently, VB and Visual C++ languages, MATLAB's SIMULINK and PG‐Sim were used to develop such programs . The availability of visual language, e.g., VB was easy to users.…”
Section: Introductionmentioning
confidence: 99%
“…The models which are used to predict draft, pull and energy requirements of tillage implements could be built by the help of artificial neural networks (Hassan and Tohmaz, 1995;Tohmaz and Hassan,1995;Kushwaha and Zhang, 1997;Zhang and Kushawaha,1999;Choi et al,2000;Al-Janobi et al,2001;Aboukarima et al 2003;El Awady et I -1159El Awady et al, 2004;Aboukarima, 2004;Aboukarima and Saad, 2006;Aboukarima, 2007;Roul et al, 2009;Al-Janobi et al, 2010;Lai et al, 2010;Altinisik et al, 2012;Carman and Taner, 2012;Aboukarima, 2013;Saleh and Aly, 2013;. One of the reasons in which leads researchers to use artificial neural networks in building models is its powerful estimation and there is no specific material relation between the dependent and independent variables (Alimardani et al, 2009).…”
Section: Introductionmentioning
confidence: 99%