Modeling Energy Consumption of Strawberries on the Basis of Energy Consumption Pattern Using Artificial Neural Network and Anfis and Regression in Dezfoul County

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Sabzealipour F.; BAGHERPOUR H.

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Journal: Plant Production Technology Year:2019 | Volume:19 | Issue:1 Page(s): 207-219

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Title

Modeling Energy Consumption of Strawberries on the Basis of Energy Consumption Pattern Using Artificial Neural Network and Anfis and Regression in Dezfoul County

Author(s)

Sabzealipour F. | BAGHERPOUR H. | Issue Writer Certificate

Keywords

Open fieldsQ1

Chemical fertilizersQ2

Correlation coefficientQ2

Cobb-Douglas parametric methodQ1

Abstract

This research was carried out to analyze and model energy consumption in the production of software in Open fields using intelligent artificial neural network, multi-layered non-fuzzy inference scheme and regression. In order to estimate the amount of energy consumed, data were collected directly from 50 strawberry producers in Dezful. According to the results, the total input and output energy for this product was equal to 36257. 25 and 30006. 51 megajol per hectare. The highest amount of inputs was allocated to the amount of 18139. 84 megajol per hectare and 50 percent to Chemical fertilizers. According to the results of ANFIS model, the Correlation coefficient and mean square error and mean absolute error for strawberries were 0. 98, 0. 047 and 0. 012 respectively. Also, the values of these parameters for artificial neural network with optimal structure (7-6-1) were 0. 97, 0. 056 and 0. 020 respectively and for regression were 0. 90, 0. 076 and 0. 053 respectively. Also, the effect of energy consumption by different inputs on strawberry production was studied using the Cobb-Douglas parametric method and final physical production. The results showed that the impacts of machine and water inputs were higher than the other inputs. The results of the comparison of the regression model with the ANN and ANN model indicated that the anfis model estimates the output value more accurately than the best artificial neural network model and artificial neural network compared to the regression model.

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APA: Copy

Sabzealipour, F., & BAGHERPOUR, H.. (2019). Modeling Energy Consumption of Strawberries on the Basis of Energy Consumption Pattern Using Artificial Neural Network and Anfis and Regression in Dezfoul County. PLANT PRODUCTS TECHNOLOGY (AGRICULTURAL RESEARCH), 19(1 ), 207-219. SID. https://sid.ir/paper/389678/en

Vancouver: Copy

Sabzealipour F., BAGHERPOUR H.. Modeling Energy Consumption of Strawberries on the Basis of Energy Consumption Pattern Using Artificial Neural Network and Anfis and Regression in Dezfoul County. PLANT PRODUCTS TECHNOLOGY (AGRICULTURAL RESEARCH)[Internet]. 2019;19(1 ):207-219. Available from: https://sid.ir/paper/389678/en

IEEE: Copy

F. Sabzealipour, and H. BAGHERPOUR, “Modeling Energy Consumption of Strawberries on the Basis of Energy Consumption Pattern Using Artificial Neural Network and Anfis and Regression in Dezfoul County,” PLANT PRODUCTS TECHNOLOGY (AGRICULTURAL RESEARCH), vol. 19, no. 1 , pp. 207–219, 2019, [Online]. Available: https://sid.ir/paper/389678/en

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