Application of ANFIS and linear regression models to analyze the energy and economics of lentil and chickpea production in Iran

Document Type : Research Paper

Authors

Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran, Karaj, Iran

Abstract

In the present study, the energetic and economic modeling of lentil and chickpea production in Esfahan province of Iran was conducted using adaptive neuro-fuzzy inference system (ANFIS) and linear regression. Data were taken by interviewing and visiting of 140 lentil farms and 110 chickpea farms during 2014-2015 production period. The results showed that the yield and total energy consumption were calculated 2,023 kgha-1 and 32,970.10 MJha-1, respectively for lentil; and 2,276 kg ha-1 and 33,211.18 MJ ha-1, respectively for chickpea. Energy use efficiency was found to be 0.9 for lentil and 1.02 for chickpea; while benefit-cost ratio (BCR) were obtained 1.60 for lentil and 1.74 for chickpea. Regression results demonstrated that the coefficient of determination (R2) were 0.92 for lentil and 0.89 for chickpea. In adittion, in regression estimated model in terms of BCR, R2 were obtained as 0.86 for lentil and 0.72 for chickpea. In modeling of yield using the best ANFIS model, R2 were calculated 0.99 and 0.98, respectively for lentil and chickpea. Finally, for evaluation of crops BCR by best ANFIS model, R2 were determinate as 0.94 and 0.91 for lentil and chickpea, respectively. It was concluded that ANFIS model could better predict the energy output and BCR than that of linear regression model.

Keywords

References

[1] Torres J., Rutherfurd S.M., Muñoz LS, Peters M., Montoya CA., The impact of heating and soaking on the in vitro enzymatic hydrolysis of protein varies in different species of tropical legumes, Food Chemistry, 194, (2016) 377–382.
[2] Food and Agricultural Organization (FAO), (2008), www.fao.org.
[3] Anonymous. Annual agricultural statistics, Ministry of Jihad-e- Agriculture of Iran, (2014), www.maj.ir.
[4] Rafiee S., Mousavi Avval S.H., Mohammadi A., Modeling and sensitivity analysis of energy inputs for apple production in Iran, Energy, 35, (2010) 3301-3306.
[5] Alam M.S., Alam M.R., Islam K.K., Energy flow in agriculture: Bangladesh, American Journal of  Environment Science, 1(3), (2005) 213-320.
[6] Zangeneh M., Omid M., Akram A., A comparative study on energy use and cost analysis of potato production under different farming technologies in Hamadan province of Iran, Energy, 35, (2010) 2927-2933.
[7] Mohammadi A., Omid M., Economical analysis and relation between energy inputs and yield of greenhouse cucumber production in Iran, Applied Energy, 87, (2010) 191–196.
[8] Thankappan S., Midmore P., Jenkins T., Conserving energy in small holder agriculture: a multi-objective programming case-study of northwest India, Ecological Economics, 56, ( 2005) 190-208.
[9] Baruah D.C., Dutta P.K., An investigation into the energy use in relation to yield of rice (Oryza sativa) in Assam, India. Agriculture, Ecosystems and Environment, 120, (2007) 185-191.
[10] Mohammadi A., Rafiee S., Mohtasebi S.S., Rafiee H., Energy inputs-yield relationship and cost analysis of kiwifruit production in Iran, Renewable Energy, 35, (2010) 1071-1075.
[11] Mousavi-Avval S.H., Rafiee S., Jafari A., Mohammadi A., Energy flow modeling and sensitivity analysis of inputs for canola production in Iran, Journal of Cleaner Production, 19, (2011) 1464-1470.
[12] Ghasemi Mobtaker H., Keyhani A., Mohammadi A., Rafiee S., Akram A., Sensitivity Analysis of Energy Inputs for Barley Production in Hamedan Province of Iran, Agriculture, Ecosystems  and Environment (2010) 137:367-372.
[13] Khoshnevisan B., Rafiee S., Omid M., Mousazadeh H.,  Prediction of Potato Yield Based on Energy Inputs Using Multi-Layer Adaptive Neuro-Fuzzy Inference System, Measurement (2014) 47:521–530.
[14] Cheng C.B., Cheng C.J., Lee E.S., Neuro-Fuzzy and Genetic Algorithm in Multiple Response Optimization. Computers and Mathematics with Applications (2002) 44:1503–1514.
[15] Al-Ghandoor A., Phelan P.E., Villalobos R., Phelan B.E., Manufacturing Aggregate Energy Intensity Decomposition, The Application of Multivariate  Regression Analysis, International Journal Energy Research     (2008) 32: 501–513.
[16] Sefeedpari P., Rafiee S., Akram A., Pishgar Komleh S.H., Modeling Output Energy Based on Fossil Fuels and Electricity Energy Consumption on Dairy Farms of Iran, Application of Adaptive neural-fuzzy inference system technique, Computers and Electronics in Agriculture (2014) 109: 80–85.
[17] Naderloo L., Alimardani R., Omid M., Sarmadian F., Javadikia P., Torabi M.Y., Alimardani F., Application of ANFIS to Predict Crop Yield Based on Different Energy Inputs, Measurement (2012) 45:1406– 1413.
[18] Statistical Yearbook of Esfahan Province in Iran (amar.org.ir/english/Iran-Statistical-Yearbook) (2013).
[19] Banaeian N., Omid M., Ahmadi H., Energy and Economic Analysis of Greenhouse Strawberry Production in Tehran Province of Iran, Energy Conversion and Management (2010) 52: 1020–1025.
[20] Kitani O., Energy and Biomass Engineering. In, CIGR Handbook of Agricultural Engineering, St. Joseph, MI, ASAE (1999) 330.
[21] Pishgar-Komleh S.H., Keyhani A., Mostofi-Sarkari  M.R., Jafari A., Energy and Economic Analysis of Different Seed Corn Harvesting Systems in Iran, Energy (2012) 43: 469-476.
[22] Singh G., Singh S., Singh J., Optimization of Energy Inputs for  Wheat Crop in Punjab, Energy Converse Management (2004) 45: 453–465.
[23] Hatrili S.A., Ozkan B., Fert C., Energy Inputs and Crop Yield Relationship in Greenhouse Tomato Production, Renewable Energy (2006) 31: 427–438.
[24] Ghasemi Mobtaker H., Akram A., Keihani A., Economic Modeling and Sensitivity Analysis of the Cost Inputs for Alfalfa Production in Iran, A Case Study from Hamedan Province, Ocean Journal of Applied Sciences (2010) 3: 313-319.
[25] Ubeyli E.D., Adaptive Neuro-Fuzzy Inference System Employing Wavelet Coefficients for Detection of Ophthalmic Arterial Disorders, Expert Systems with (2008) 34: 2201–2209.
[26] Singh R., Kainthola A., Singh T.N., Estimation of Elastic Constant of Rocks Using an ANFIS Approach, Applied Soft Computing (2012) 12: 40–45.
[27] Khoshnevisan B., Rafiee S., Omid M., Yousefi M., Movahedi M., Modeling of Energy Consumption and GHG (greenhouse gas) Emissions in Wheat Production in Esfahan Province of Iran Using Artificial Neural Networks, Energy (2013a) 52: 333-338.
[28] Safa M., Samarasinghe S., Determination and Modeling of Energy Consumption in Wheat Production Using Neural Networks, A Case Study in Canterbury Province, New Zealand, Energy (2011) 36: 5140-5147.
[29] Koocheki A., Ghorbani R., Monadi F., Alizadeh Y., Moradi R., Pulses Production Systems in Term of Energy Use Efficiency and Economical Analysis in Iran, International Journal of Energy Economics and Policy (2011) 4(1): 95-106.
[30] Patil S.L., Mishra P.K., Loganandhan N., Ramesha M.N., Math S.K.N., Energy, Economics and Water Use Efficiency of Chickpea (Cicer arietinum L.) Cultivars in Vertisols of Semi-Arid Tropics, Indian Machineries Research Communication, (2014) 107:656-664.
[31] Yousefi M., Damghani A.M., Evaluation of Energy Flow and Indicators of Chickpea under Rainfed Condition in Iran, International Journal of Farming and Allied Sciences (2012) 1(2): 57- 61.
[32] Tabatabaie S.M.H., Rafiee S., Keyhani A., Ebrahimi A.H., Energy and Economic Assessment of Prune Production in Tehran Province of Iran, Journal of Cleaner Production (2013) 39: 280-284.
[33] Zhang L.X., Song B., Chen B., Emergy-Based Analysis of Four Farming Systems, Insight into Agricultural Diversification in Rural China, Journal of Cleaner Production (2012) 28: 33-44.
[34] Mohammadshirazi A., Akram A., Rafiee S., Mousavi-Avval S.H., Bagheri Kalhor E., An Analysis of Energy Use and Relation between Energy Inputs and Yield in Tangerine Production, Renewable     and     Sustainable    Energy Reviews (2012) 16:4515–4521.
[35] Cetin C., Vardar A., An Economic Analysis of Energy Requirements and Input Costs for Tomato Production in Turkey, Renewable Energy (2008) 33: 428-433.
[36]Khoshnevisan B., Rafiee S., Mousazadeh H., Environmental Impact Assessment of Open Field and Greenhouse Strawberry Production, European Journal Agronomy (2013b) 50: 29-37.
Energy Equipment and Systems
Volume 4, Issue 2
December 2016
Pages 255-270

Files

Share

How to cite

Statistics