Potential for optimization of energy consumption and costs in saffron production in central Iran through data envelopment analysis and multi‐objective genetic algorithm
Technical management of agricultural units plays an important role in increasing the yield, energy efficiency, and decreasing the production costs. Based on that, the present study aimed to evaluate and optimize the technical and economic efficiency in Saffron farms in the 2019–20 cropping season in...
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| Vydané v: | Environmental progress & sustainable energy Ročník 41; číslo 5 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Hoboken, USA
John Wiley & Sons, Inc
01.09.2022
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| ISSN: | 1944-7442, 1944-7450 |
| On-line prístup: | Získať plný text |
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| Abstract | Technical management of agricultural units plays an important role in increasing the yield, energy efficiency, and decreasing the production costs. Based on that, the present study aimed to evaluate and optimize the technical and economic efficiency in Saffron farms in the 2019–20 cropping season in Iran. Required data were collected from 70 Saffron farms through interviews and questionnaires and were analyzed and compared using two optimization methods including data envelopment analysis (DEA), and multi‐objective genetic algorithm (MOGA). Based on the results related to the energy section, the total energy input was obtained as 43,578 MJ ha−1 before any optimization, while it was determined as 36,033 and 36,910 MJ ha−1 after optimization using DEA, and MOGA, respectively. Also DEA and MOGA methods improved the energy ratio index (ER) (0.002) by 50, and 159%, respectively. Results related to the economic section showed that the total production costs were mitigated from 1260 $ ha−1 to 863.5 and 1069 $ ha−1 after optimization by DEA, and MOGA, respectively. After optimization of revenue (using MOGA method), and total costs (using MOGA, and DEA), the benefit cost ratio index was improved from 1.43 to 2.09 (using DEA), and 3.3 (using MOGA). Consequently, MOGA optimization method showed better results compared to DEA in both energy and economic sections. |
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| AbstractList | Technical management of agricultural units plays an important role in increasing the yield, energy efficiency, and decreasing the production costs. Based on that, the present study aimed to evaluate and optimize the technical and economic efficiency in Saffron farms in the 2019–20 cropping season in Iran. Required data were collected from 70 Saffron farms through interviews and questionnaires and were analyzed and compared using two optimization methods including data envelopment analysis (DEA), and multi‐objective genetic algorithm (MOGA). Based on the results related to the energy section, the total energy input was obtained as 43,578 MJ ha −1 before any optimization, while it was determined as 36,033 and 36,910 MJ ha −1 after optimization using DEA, and MOGA, respectively. Also DEA and MOGA methods improved the energy ratio index (ER) (0.002) by 50, and 159%, respectively. Results related to the economic section showed that the total production costs were mitigated from 1260 $ ha −1 to 863.5 and 1069 $ ha −1 after optimization by DEA, and MOGA, respectively. After optimization of revenue (using MOGA method), and total costs (using MOGA, and DEA), the benefit cost ratio index was improved from 1.43 to 2.09 (using DEA), and 3.3 (using MOGA). Consequently, MOGA optimization method showed better results compared to DEA in both energy and economic sections. Technical management of agricultural units plays an important role in increasing the yield, energy efficiency, and decreasing the production costs. Based on that, the present study aimed to evaluate and optimize the technical and economic efficiency in Saffron farms in the 2019–20 cropping season in Iran. Required data were collected from 70 Saffron farms through interviews and questionnaires and were analyzed and compared using two optimization methods including data envelopment analysis (DEA), and multi‐objective genetic algorithm (MOGA). Based on the results related to the energy section, the total energy input was obtained as 43,578 MJ ha−1 before any optimization, while it was determined as 36,033 and 36,910 MJ ha−1 after optimization using DEA, and MOGA, respectively. Also DEA and MOGA methods improved the energy ratio index (ER) (0.002) by 50, and 159%, respectively. Results related to the economic section showed that the total production costs were mitigated from 1260 $ ha−1 to 863.5 and 1069 $ ha−1 after optimization by DEA, and MOGA, respectively. After optimization of revenue (using MOGA method), and total costs (using MOGA, and DEA), the benefit cost ratio index was improved from 1.43 to 2.09 (using DEA), and 3.3 (using MOGA). Consequently, MOGA optimization method showed better results compared to DEA in both energy and economic sections. |
| Author | Saeidi, Elham Dehkordi, Amin Lotfalian Nabavi‐Pelesaraei, Ashkan |
| Author_xml | – sequence: 1 givenname: Elham surname: Saeidi fullname: Saeidi, Elham organization: Shahrekord University – sequence: 2 givenname: Amin Lotfalian orcidid: 0000-0002-7651-1021 surname: Dehkordi fullname: Dehkordi, Amin Lotfalian email: amin_lotfalian@yahoo.com organization: Shahrekord University – sequence: 3 givenname: Ashkan orcidid: 0000-0003-2823-6616 surname: Nabavi‐Pelesaraei fullname: Nabavi‐Pelesaraei, Ashkan email: a.nabavi@razi.ac.ir organization: Razi University |
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| Cites_doi | 10.1016/j.spc.2021.02.033 10.1016/j.energy.2019.116768 10.1016/j.esd.2011.12.001 10.1016/j.renene.2010.10.036 10.1016/j.energy.2005.05.021 10.1016/j.jclepro.2017.06.071 10.1016/0377-2217(78)90138-8 10.1016/j.agwat.2017.07.021 10.1016/j.energy.2013.04.021 10.1016/j.jclepro.2018.08.263 10.1016/j.ress.2005.11.018 10.1016/j.agwat.2018.10.034 10.1007/s11367-019-01707-6 10.1016/j.energy.2010.04.015 10.1111/j.1574-0862.2000.tb00078.x 10.1007/978-3-319-58679-3_6 10.1016/j.agee.2010.03.011 10.1016/j.jclepro.2013.08.019 10.1016/j.energy.2011.09.041 10.1016/j.energy.2019.06.002 10.1016/j.rser.2014.12.038 10.1016/j.jclepro.2016.03.075 10.1016/j.renene.2021.06.117 10.1287/mnsc.30.9.1078 10.1016/j.inpa.2014.04.001 10.1016/S0960-1481(03)00135-6 10.7551/mitpress/1090.001.0001 10.1007/s11356-020-08576-9 10.1002/ptr.6420 10.1016/j.esd.2012.02.001 10.1016/j.agsy.2003.12.002 10.1016/j.agwat.2015.06.020 10.1007/s11356-016-8228-2 10.1016/j.jclepro.2015.12.013 10.1016/j.agsy.2013.10.003 10.1016/j.jclepro.2016.03.090 10.1016/j.rser.2012.04.047 10.1016/j.inpa.2016.07.002 10.1007/s11356-015-4843-6 10.1007/s11356-020-11219-8 10.1016/j.renene.2012.08.077 10.1016/j.energy.2011.11.055 10.1016/j.energy.2016.03.003 |
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| References | 2021; 9 2015; 2 2009; 22 2021; 27 2015; 160 2006; 91 2006; 31 2010; 35 2004; 82 2004; 29 2019; 33 2021; 28 2000; 22 2017; 24 2018; 203 2017; 192 1978; 2 2012; 16 1992 2016; 126 2016; 103 2011; 36 2012; 37 2014; 65 1977 1999 2014; 1 1984; 30 2019; 181 2016; 3 2013; 55 2021; 178 2020 2013; 51 2010; 137 2020; 193 2015; 44 2015; 22 2019 2020; 27 2019; 213 2020; 25 2017 2017; 162 2017; 140 2016; 115 2014; 123 e_1_2_7_5_1 e_1_2_7_3_1 e_1_2_7_9_1 e_1_2_7_7_1 e_1_2_7_19_1 e_1_2_7_17_1 e_1_2_7_15_1 e_1_2_7_41_1 e_1_2_7_13_1 e_1_2_7_43_1 e_1_2_7_11_1 e_1_2_7_45_1 e_1_2_7_47_1 e_1_2_7_26_1 e_1_2_7_49_1 e_1_2_7_28_1 e_1_2_7_50_1 e_1_2_7_25_1 e_1_2_7_31_1 e_1_2_7_52_1 e_1_2_7_23_1 e_1_2_7_35_1 e_1_2_7_39_1 e_1_2_7_6_1 e_1_2_7_8_1 e_1_2_7_18_1 e_1_2_7_16_1 e_1_2_7_40_1 e_1_2_7_2_1 Feizi H (e_1_2_7_14_1) 2015; 2 e_1_2_7_42_1 e_1_2_7_12_1 e_1_2_7_44_1 e_1_2_7_10_1 e_1_2_7_46_1 Kitani O (e_1_2_7_37_1) 1999 e_1_2_7_48_1 e_1_2_7_27_1 e_1_2_7_29_1 Zalaghi AH (e_1_2_7_4_1) 2021; 9 Cochran WG (e_1_2_7_33_1) 1977 Murthy DS (e_1_2_7_21_1) 2009; 22 e_1_2_7_51_1 e_1_2_7_30_1 e_1_2_7_24_1 e_1_2_7_32_1 e_1_2_7_22_1 e_1_2_7_34_1 e_1_2_7_20_1 e_1_2_7_36_1 e_1_2_7_38_1 |
| References_xml | – volume: 103 start-page: 672 year: 2016 end-page: 678 article-title: Applying optimization techniques to improve of energy efficiency and GHG (greenhouse gas) emissions of wheat production publication-title: Energy – volume: 16 start-page: 242 issue: 2 year: 2012 end-page: 248 article-title: Optimization of energy required for alfalfa production using data envelopment analysis approach publication-title: Energy Sustain Dev – volume: 36 start-page: 2573 issue: 9 year: 2011 end-page: 2579 article-title: Energy efficiency improvement and input cost saving in kiwifruit production using data envelopment analysis approach publication-title: Renew Energy – volume: 16 start-page: 236 issue: 2 year: 2012 end-page: 241 article-title: Optimization of energy consumption for rose production in Iran publication-title: Energy Sustain Dev – volume: 82 start-page: 17 issue: 1 year: 2004 end-page: 30 article-title: Analysing farming systems with data envelopment analysis: citrus farming in Spain publication-title: Agr Syst – volume: 30 start-page: 1078 issue: 9 year: 1984 end-page: 1092 article-title: Some models for estimating technical and scale inefficiencies in data envelopment analysis publication-title: Manage Sci – volume: 27 start-page: 1021 year: 2021 end-page: 1029 article-title: Understanding farm‐level differences in environmental impact and eco‐efficiency: the case of rice production in Iran publication-title: Sustain Prod Consum – volume: 16 start-page: 4515 issue: 7 year: 2012 end-page: 4521 article-title: An analysis of energy use and relation between energy inputs and yield in tangerine production publication-title: Renew Sustain Energy Rev – volume: 37 start-page: 171 issue: 1 year: 2012 end-page: 176 article-title: Energy input–output analysis and application of artificial neural networks for predicting greenhouse basil production publication-title: Energy – volume: 178 start-page: 875 year: 2021 end-page: 890 article-title: Analysis and comparison of energy‐economic‐environmental cycle in two cultivation methods (seeding and transplanting) for onion production (case study: central parts of Iran) publication-title: Renew Energy – volume: 3 start-page: 190 issue: 3 year: 2016 end-page: 205 article-title: Optimization of energy consumption and environmental impacts of chickpea production using data envelopment analysis (DEA) and multi objective genetic algorithm (MOGA) approaches publication-title: Inform Process Agric – volume: 24 start-page: 4812 issue: 5 year: 2017 end-page: 4821 article-title: Life cycle environmental impacts of saffron production in Iran publication-title: Environ Sci Pollut Res – volume: 27 start-page: 21836 issue: 17 year: 2020 end-page: 21846 article-title: Estimation of energy flow and environmental impacts of quinoa cultivation through life cycle assessment methodology publication-title: Environ Sci Pollut Res – volume: 9 start-page: 37 issue: 1 year: 2021 end-page: 52 article-title: Applying data envelopment analysis (DEA) to improve energy efficiency of apple fruit, focusing on cumulative energy demand publication-title: Energy Equipment Syst – volume: 192 start-page: 306 year: 2017 end-page: 319 article-title: Effects of precision conservation agriculture in a maize‐wheat‐mungbean rotation on crop yield, water‐use and radiation conversion under a semiarid agro‐ecosystem publication-title: Agric Water Manag – volume: 126 start-page: 373 year: 2016 end-page: 381 article-title: Measuring eco‐efficiency of wheat production in Japan: a combined application of life cycle assessment and data envelopment analysis publication-title: J Clean Prod – volume: 160 start-page: 22 year: 2015 end-page: 32 article-title: Improving productivity and water use efficiency: A case study of farms in England publication-title: Agric Water Manag – volume: 203 start-page: 674 year: 2018 end-page: 684 article-title: Optimization of energy consumption and environmental impacts of arecanut production through coupled data envelopment analysis and life cycle assessment publication-title: J Clean Prod – volume: 44 start-page: 457 year: 2015 end-page: 465 article-title: A multi‐objective evolutionary algorithm for energy management of agricultural systems—a case study in Iran publication-title: Renew Sustain Energy Rev – volume: 22 start-page: 321 issue: 3 year: 2000 end-page: 330 article-title: The extent of resource use inefficiencies in cotton production in Pakistan's Punjab: an application of data envelopment analysis publication-title: Agric Econ – volume: 25 start-page: 620 issue: 3 year: 2020 end-page: 632 article-title: Integration of life cycle assessment, artificial neural networks, and metaheuristic optimization algorithms for optimization of tomato‐based cropping systems in Iran publication-title: Int J Life Cycle Assess – year: 2019 – volume: 1 start-page: 14 issue: 1 year: 2014 end-page: 22 article-title: Development of an intelligent system based on ANFIS for predicting wheat grain yield on the basis of energy inputs publication-title: Inform Process Agric – volume: 33 start-page: 2244 issue: 9 year: 2019 end-page: 2255 article-title: The effect of saffron on weight and lipid profile: A systematic review, meta‐analysis, and dose–response of randomized clinical trials publication-title: Phytother Res – volume: 22 start-page: 16184 issue: 20 year: 2015 end-page: 16201 article-title: Energy analyses and greenhouse gas emissions assessment for saffron production cycle publication-title: Environ Sci Pollut Res – volume: 55 start-page: 676 year: 2013 end-page: 682 article-title: Reduction of CO2 emission by improving energy use efficiency of greenhouse cucumber production using DEA approach publication-title: Energy – volume: 36 start-page: 6345 issue: 11 year: 2011 end-page: 6351 article-title: Energy use patterns and econometric models of grape production in Hamadan province of Iran publication-title: Energy – volume: 213 start-page: 368 issue: 4 year: 2019 end-page: 374 article-title: Virtual water trade and water footprint accounting of saffron production in Iran publication-title: Agric Water Manag – volume: 29 start-page: 39 issue: 1 year: 2004 end-page: 51 article-title: Energy input–output analysis in Turkish agriculture publication-title: Renew Energy – volume: 91 start-page: 992 year: 2006 end-page: 1007 article-title: Multi‐objective optimization using genetic algorithms: a tutorial publication-title: Reliab Eng Syst Safe – volume: 51 start-page: 7 year: 2013 end-page: 12 article-title: Energy use pattern and sensitivity analysis of energy inputs and input costs for pear production in Iran publication-title: Renew Energy – volume: 28 start-page: 8421 issue: 7 year: 2021 end-page: 8433 article-title: Impact of energy flow optimization on the mitigation of environmental consequences and costs in greenhouse cucumber production publication-title: Environ Sci Pollut Res – volume: 162 start-page: 571 year: 2017 end-page: 586 article-title: Energy consumption enhancement and environmental life cycle assessment in paddy production using optimization techniques publication-title: J Clean Prod – year: 1977 – year: 1992 – volume: 65 start-page: 311 year: 2014 end-page: 317 article-title: Optimization of energy required and greenhouse gas emissions analysis for orange producers using data envelopment analysis approach publication-title: J Clean Prod – volume: 22 start-page: 215 issue: 347–2016‐16851 year: 2009 end-page: 224 article-title: Technical efficiency and its determinants in tomato production in Karnataka, India: data envelopment analysis (DEA) approach publication-title: Agric Econ Res Rev – volume: 193 year: 2020 article-title: Application of life cycle analysis to assess environmental sustainability of wheat cultivation in the west of Iran publication-title: Energy – start-page: 170 year: 2017 end-page: 171 – volume: 115 start-page: 162 year: 2016 end-page: 171 article-title: Investigating energy balance and carbon footprint in saffron cultivation–a case study in Iran publication-title: J Clean Prod – volume: 181 start-page: 1298 year: 2019 end-page: 1320 article-title: Use of optimization techniques for energy use efficiency and environmental life cycle assessment modification in sugarcane production publication-title: Energy – volume: 140 start-page: 804 year: 2017 end-page: 815 article-title: Application of multi‐objective genetic algorithms for optimization of energy, economics and environmental life cycle assessment in oilseed production publication-title: J Clean Prod – volume: 31 start-page: 1243 issue: 8–9 year: 2006 end-page: 1256 article-title: Energy use pattern analyses of greenhouse vegetable production publication-title: Energy – volume: 2 start-page: 429 issue: 6 year: 1978 end-page: 444 article-title: Measuring the efficiency of decision making units publication-title: Eur J Operational Res – volume: 137 start-page: 367 issue: 3–4 year: 2010 end-page: 372 article-title: Sensitivity analysis of energy inputs for barley production in Hamedan Province of Iran publication-title: Agr Ecosyst Environ – year: 2020 – volume: 2 start-page: 15 issue: 3 year: 2015 end-page: 22 article-title: Saffron: an efficient crop production system in energy use in Iran publication-title: J Adv Agric Technol – volume: 35 start-page: 3301 issue: 8 year: 2010 end-page: 3306 article-title: Modeling and sensitivity analysis of energy inputs for apple production in Iran publication-title: Energy – year: 1999 – volume: 123 start-page: 120 year: 2014 end-page: 127 article-title: Application of artificial neural networks for prediction of output energy and GHG emissions in potato production in Iran publication-title: Agr Syst – ident: e_1_2_7_2_1 doi: 10.1016/j.spc.2021.02.033 – volume: 22 start-page: 215 issue: 347 year: 2009 ident: e_1_2_7_21_1 article-title: Technical efficiency and its determinants in tomato production in Karnataka, India: data envelopment analysis (DEA) approach publication-title: Agric Econ Res Rev – ident: e_1_2_7_7_1 doi: 10.1016/j.energy.2019.116768 – ident: e_1_2_7_5_1 doi: 10.1016/j.esd.2011.12.001 – ident: e_1_2_7_27_1 doi: 10.1016/j.renene.2010.10.036 – ident: e_1_2_7_42_1 doi: 10.1016/j.energy.2005.05.021 – ident: e_1_2_7_12_1 doi: 10.1016/j.jclepro.2017.06.071 – ident: e_1_2_7_46_1 doi: 10.1016/0377-2217(78)90138-8 – ident: e_1_2_7_50_1 doi: 10.1016/j.agwat.2017.07.021 – ident: e_1_2_7_34_1 doi: 10.1016/j.energy.2013.04.021 – ident: e_1_2_7_20_1 doi: 10.1016/j.jclepro.2018.08.263 – ident: e_1_2_7_48_1 doi: 10.1016/j.ress.2005.11.018 – ident: e_1_2_7_16_1 doi: 10.1016/j.agwat.2018.10.034 – ident: e_1_2_7_24_1 doi: 10.1007/s11367-019-01707-6 – ident: e_1_2_7_35_1 doi: 10.1016/j.energy.2010.04.015 – volume-title: CIGR Handbook of Agricultural Engineering year: 1999 ident: e_1_2_7_37_1 – ident: e_1_2_7_47_1 doi: 10.1111/j.1574-0862.2000.tb00078.x – ident: e_1_2_7_30_1 – ident: e_1_2_7_31_1 doi: 10.1007/978-3-319-58679-3_6 – ident: e_1_2_7_39_1 doi: 10.1016/j.agee.2010.03.011 – ident: e_1_2_7_28_1 doi: 10.1016/j.jclepro.2013.08.019 – ident: e_1_2_7_40_1 doi: 10.1016/j.energy.2011.09.041 – ident: e_1_2_7_10_1 doi: 10.1016/j.energy.2019.06.002 – ident: e_1_2_7_13_1 doi: 10.1016/j.rser.2014.12.038 – ident: e_1_2_7_22_1 doi: 10.1016/j.jclepro.2016.03.075 – ident: e_1_2_7_3_1 doi: 10.1016/j.renene.2021.06.117 – ident: e_1_2_7_6_1 doi: 10.1287/mnsc.30.9.1078 – ident: e_1_2_7_51_1 doi: 10.1016/j.inpa.2014.04.001 – ident: e_1_2_7_41_1 doi: 10.1016/S0960-1481(03)00135-6 – ident: e_1_2_7_8_1 doi: 10.7551/mitpress/1090.001.0001 – ident: e_1_2_7_36_1 doi: 10.1007/s11356-020-08576-9 – ident: e_1_2_7_32_1 doi: 10.1002/ptr.6420 – ident: e_1_2_7_26_1 doi: 10.1016/j.esd.2012.02.001 – ident: e_1_2_7_45_1 doi: 10.1016/j.agsy.2003.12.002 – ident: e_1_2_7_29_1 – ident: e_1_2_7_49_1 doi: 10.1016/j.agwat.2015.06.020 – ident: e_1_2_7_17_1 doi: 10.1007/s11356-016-8228-2 – ident: e_1_2_7_23_1 doi: 10.1016/j.jclepro.2015.12.013 – ident: e_1_2_7_52_1 doi: 10.1016/j.agsy.2013.10.003 – ident: e_1_2_7_19_1 doi: 10.1016/j.jclepro.2016.03.090 – ident: e_1_2_7_43_1 doi: 10.1016/j.rser.2012.04.047 – ident: e_1_2_7_9_1 doi: 10.1016/j.inpa.2016.07.002 – ident: e_1_2_7_18_1 doi: 10.1007/s11356-015-4843-6 – ident: e_1_2_7_25_1 doi: 10.1007/s11356-020-11219-8 – volume-title: Sampling Techniques year: 1977 ident: e_1_2_7_33_1 – ident: e_1_2_7_44_1 doi: 10.1016/j.renene.2012.08.077 – volume: 2 start-page: 15 issue: 3 year: 2015 ident: e_1_2_7_14_1 article-title: Saffron: an efficient crop production system in energy use in Iran publication-title: J Adv Agric Technol – ident: e_1_2_7_38_1 doi: 10.1016/j.energy.2011.11.055 – volume: 9 start-page: 37 issue: 1 year: 2021 ident: e_1_2_7_4_1 article-title: Applying data envelopment analysis (DEA) to improve energy efficiency of apple fruit, focusing on cumulative energy demand publication-title: Energy Equipment Syst – ident: e_1_2_7_11_1 doi: 10.1016/j.energy.2016.03.003 – ident: e_1_2_7_15_1 |
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| Title | Potential for optimization of energy consumption and costs in saffron production in central Iran through data envelopment analysis and multi‐objective genetic algorithm |
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