Modeling of tractive performance of Massey Ferguson tractor (MF 285) in different field conditions using artificial neural networks

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عنوان دوره: دهمین کنگره ملی مهندسی ماشین های کشاورزی و مکانیزاسیون

¹Salim Almaliki؛ ²Reza Alimardani؛ ²Mahmoud Omid

¹1- PhD student, Department of Agricultural Machinery, University of Basrah, Basrah, Iraq. 2- Faculty member, Department of Agricultural Machinery Engineering, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran

²Faculty member, Department of Agricultural Machinery Engineering, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran

Artificial neural network؛ Tractive efficiency؛ Rolling resistance؛ Drawbar power؛ performance of Massey