چکیده مقاله
The aims of this research are to scrutinize carbon dioxide CO2 emissions chickpea production underdry farming system and its modeling by artificial neural network ANN in the Ravansar county of Iran The results reveal that the total CO2 emissions and chickpea yield are calculated about 266 16 kgCO2eq ha 1 and 489 17 kg ha 1, respectively Highest share of CO2 emissions is related to diesel fuel with79% of total emissions The results of ANN modeling indicated that the best topology is 4 4 1 forprediction of chickpea yield based on emission inputs Also, the R2, RMSE and MAPE % of the beststructure are computed as 0 994, 0 122 and 0 414, respectively Finally, it can be said the artificialmodeling can offer sufficient accuracy for modeling and help to save the environmental situation,significantly
کلیدواژهها
نویسندگان
Ashkan Nabavi-Pelesaraei
Department of Mechanical Engineering of Biosystems, Faculty of Agriculture, Razi University, Kermanshah, Iran;
شیوه ارجاع
Nabavi-Pelesaraei, Ashkan,1401,Neural network model of CO2 emissions for chickpea production under dryfarming system in Ravansar county of Iran,8th International Conference on Industrial and Systems Engineering,Mashhad
ارائهشده در
مجموعه مقالات هشتمین کنفرانس بین المللی مهندسی صنایع و سیستم ها16 شهریور 1401 · مشهد