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Artificial Neural Network Based Modeling of Tractor Performance at Different Field Conditions CIGR Journal
Almaliki, Salim; Alimardani, Reza; Omid, Mahmoud.
Application of tractors in farming is undeniable as a power supply. Therefore, performance model for evolving parameters of tractors and implements are essential for farm machinery, operators and manufacturers alike. The objective of this study was to assess the predictive capability of several configurations of ANNs for performance evaluating of tractor in parameters of drawbar power, fuel consumption, rolling resistance and tractive efficiency. A conventional tillage system which included a moldboard plow with three furrows was used for collecting data from MF285 Massey Ferguson tractor. To predict performance parameters, ANN models with back-propagation algorithm were developed using a MATLAB software with different topologies and training algorithms....
Tipo: Info:eu-repo/semantics/article Palavras-chave: Artificial neural network; Tractive efficiency; Rolling resistance; Drawbar power; Fuel consumption..
Ano: 2016 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3880
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Fuel consumption models of MF285 tractor under various field conditions CIGR Journal
Almaliki, Salim; Alimardani, Reza; Omid, Mahmoud.
Due to the ascending importance of energy in the world, prediction and optimization of Fuel Consumption (FC) in agricultural tasks is merit to consideration. In this study a Massey Ferguson (MF285) tractor was implemented with a low cost and precise data acquisition system as a means to record and monitor the affectual parameters on FC such as forward speed and instant fuel flow rate during field operation. Field experiments were carried out in the experimental farm of Agricultural Engineering Department of Tehran University, Karaj province, Iran, which had loamy soil texture. A mouldboard plow was used as tillage toll during the experiments at various tillage depths, engine speeds, forward speeds, tire inflation pressures, moisture contents and cone...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Fuel consumption; Massey Ferguson (MF285); Modelling; Data logging system.
Ano: 2016 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3776
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