ANALYSIS AND MODELING OF ENERGY USE VS. PRODUCTION OF DRYLAND CHICKPEA IN THE SURROUNDINGS OF THE CITY OF BUKAN, IRAN

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GHADERPOUR OMID; RAFIEE SHAHIN

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Journal: Iranian Journal of Biosystems Engineering Year:2017 | Volume:47 | Issue:4 Page(s): 711-720

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Information Journal Paper

Title

ANALYSIS AND MODELING OF ENERGY USE VS. PRODUCTION OF DRYLAND CHICKPEA IN THE SURROUNDINGS OF THE CITY OF BUKAN, IRAN

Author(s)

GHADERPOUR OMID | RAFIEE SHAHIN | Issue Writer Certificate

Keywords

ENERGY ANALYSISQ1

MODELING OF ENERGY AND PERFORMANCEQ1

ANFISQ1

DRY LAND CHICKPEAQ3

ENERGY RATIOQ3

Abstract

The present study is to analyze and model the energy need vs. the energy performance of DRY LAND CHICKPEA using adaptive neuro-fuzzy inference system (ANFIS). The experiments were carried out cropping season of during the chickpea in the surroundings of Bukan Township. Data were collected from 70 producers of chickpea, using face to face interview with farmers, and filling up of specialized questionnaires. The areas of production units were chosen between 2 and 10 hectares. Inputs include labor, machinery, seed, diesel fuel and pesticides while the output was comprised of the chickpea seed and its straw. There was no kind of fertilizer applied in the research regions. The results indicated that the total energy consumption in the process of production and total energy gained (grain + straw) were 7760.441 Mj/kg vs 15305.976 Mj/kg respectively. Energy efficiency and energy productivity for the production of chickpea amounted to 1.229 and 0.0836 Mj/kg respectively, while for chickpea+straw respectively 1.972 and 0.1946 Mj/kg. The most prominent input was found to be diesel fuel with a share of 73.49% of the total energy used up. Adaptive Neuro-Fuzzy Inference System that combines fuzzy systems and artificial neural networks, is one of the ways of artificial intelligence that benefits from many such advantages as the ability of removal of uncertainties in the data. Values of correlation coefficient (R), Root Mean Error (RME) and Root Mean Square Error (RMSE) for the most appropriate ANFIS model as for chickpea energy uptake were 0.94, 0.027 and 369.08 respectively while for chickpea yield were respectively 0.95, 0.025 and 21.58.

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APA: Copy

GHADERPOUR, OMID, & RAFIEE, SHAHIN. (2017). ANALYSIS AND MODELING OF ENERGY USE VS. PRODUCTION OF DRYLAND CHICKPEA IN THE SURROUNDINGS OF THE CITY OF BUKAN, IRAN. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), 47(4), 711-720. SID. https://sid.ir/paper/355858/en

Vancouver: Copy

GHADERPOUR OMID, RAFIEE SHAHIN. ANALYSIS AND MODELING OF ENERGY USE VS. PRODUCTION OF DRYLAND CHICKPEA IN THE SURROUNDINGS OF THE CITY OF BUKAN, IRAN. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)[Internet]. 2017;47(4):711-720. Available from: https://sid.ir/paper/355858/en

IEEE: Copy

OMID GHADERPOUR, and SHAHIN RAFIEE, “ANALYSIS AND MODELING OF ENERGY USE VS. PRODUCTION OF DRYLAND CHICKPEA IN THE SURROUNDINGS OF THE CITY OF BUKAN, IRAN,” IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), vol. 47, no. 4, pp. 711–720, 2017, [Online]. Available: https://sid.ir/paper/355858/en

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