چکیده مقاله
Determination of suitable model for forecasting of economic indices of chickpea production under dry farming system in Ravansar county of Iran using artificial neural network ANN is the main aim of this study For this purpose, the energy consumption for chickpea production under dry farming system are found from 80 questionnaires The results reveal the average total energy use of chickpea production is 6397 25 MJ ha 1 In the next step, the economic indices are calculated for chickpea farms Accordingly, benefit to cost ratio, productivity, and energy intensiveness are calculated as 1 83, 1 31 kg 1, 310 62 ha 1 and 17 09 MJ 1, respectively In this study, a back propagation algorithm is used for training of ANN model and Levenberg Marquardt is learning algorithm The best topology has the 6 6 4 structure Moreover, the R2 of best structure is found 0 981, 0 934, 0 993, and 0 943 for benefit to cost ratio, productivity, net return and energy intensiveness, respectively
کلیدواژهها
نویسندگان
Ashkan Nabavi-Pelesaraei
Department of Mechanical Engineering of Biosystems, Faculty of Agriculture, Razi University, Kermanshah, Iran
شیوه ارجاع
Nabavi-Pelesaraei, Ashkan,1401,Prediction of economic indices for dry farming chickpea production in Ravansar county of Iran using artificial neural networks,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