Open AccessAn Educational Visual C++ Program Aid to Estimate Fuel Consumption for Tillage Equipment Based on Trained Artificial Neural Network
Author(s) -
Abdulrahman Al-Janobi,
Saad A. Al-Hamed,
Abdulwahed M. Aboukarima
Publication year - 2010
Publication title -
bulletin of university of agricultural sciences and veterinary medicine cluj-napoca. agriculture
Language(s) - English
Resource type - Journals
eISSN - 1843-5386
pISSN - 1843-5246
DOI - 10.15835/buasvmcn-agr:5104
Subject(s) - fuel efficiency , artificial neural network , tillage , computer science , consumption (sociology) , thrust specific fuel consumption , field (mathematics) , artificial intelligence , automotive engineering , engineering , mathematics , ecology , social science , sociology , pure mathematics , biology
An educational program was developed to assist graduate and undergraduate students to estimate fuel consumption for tillage equipment.
It supports to select the appropriate power of an agricultural tractor to operate with a particular tillage implement in specific operation and soil conditions to minimize fuel consumption.
The program was written in visual C++ programming language. The program was based on training library of an artificial neural network.
The program offers an educational help and clarification to most of the affecting parameters on fuel consumption. The program was validated by comparing predicted fuel consumption with the results obtained during field experiments.
The program has proven to be very user-friendly and efficient to meet the requirement.