IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v24y2022i2d10.1007_s10668-021-01552-4.html
   My bibliography  Save this article

Energy audit of tobacco production agro-system based on different farm size levels in northern Iran

Author

Listed:
  • Javad Zare Derakhshan

    (Islamic Azad University)

  • Saeed Firouzi

    (Islamic Azad University)

  • Armaghan Kosari-Moghaddam

    (Ferdowsi University of Mashhad)

Abstract

This study aimed to model the relationships between input and output energies of tobacco production in northern Iran, Guilan Province, and investigate how farm size would affect the energy use indices in the agro-system. A multilayer perceptron (MLP) neural network was designed to forecast the energy output in the tobacco agro-system. To analyze the effect of farm size, tobacco farms were divided into three groups of small-sized (˂0.5 ha), medium-sized (0.5–1 ha), and large-sized farms (˃1 ha). The findings highlighted that the total input energy and the energy use efficiency of tobacco production agro-system were 172,831.65 MJ ha−1 and 0.009, respectively. Natural gas used in the initial curing of green tobacco leaves accounted for around 60% of total input energy in the tobacco agro-system. Larger farms were significantly superior to the small-sized and medium-sized ones in energy use indicators (p ˂ 0.05). The most appropriate model to estimate the output energy of tobacco production was found to have a topology of 8-20-1. It can be concluded that the proposed MLP model is a robust tool to estimate the output energy of tobacco production in northern Iran. Graphic abstract

Suggested Citation

  • Javad Zare Derakhshan & Saeed Firouzi & Armaghan Kosari-Moghaddam, 2022. "Energy audit of tobacco production agro-system based on different farm size levels in northern Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2715-2735, February.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:2:d:10.1007_s10668-021-01552-4
    DOI: 10.1007/s10668-021-01552-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-021-01552-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-021-01552-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Yousefi, Marziye & Movahedi, Mehran, 2013. "Modeling of energy consumption and GHG (greenhouse gas) emissions in wheat production in Esfahan province of Iran using artificial neural networks," Energy, Elsevier, vol. 52(C), pages 333-338.
    2. Wang, Xiaolong & Chen, Yuanquan & Sui, Peng & Yan, Peng & Yang, Xiaolei & Gao, Wangsheng, 2017. "Preliminary analysis on economic and environmental consequences of grain production on different farm sizes in North China Plain," Agricultural Systems, Elsevier, vol. 153(C), pages 181-189.
    3. Ghatrehsamani, Shirin & Ebrahimi, Rahim & Kazi, Salim Newaz & Badarudin Badry, Ahmad & Sadeghinezhad, Emad, 2016. "Optimization model of peach production relevant to input energies – Yield function in Chaharmahal va Bakhtiari province, Iran," Energy, Elsevier, vol. 99(C), pages 315-321.
    4. Pishgar-Komleh, S.H. & Sefeedpari, P. & Rafiee, S., 2011. "Energy and economic analysis of rice production under different farm levels in Guilan province of Iran," Energy, Elsevier, vol. 36(10), pages 5824-5831.
    5. Mohammadi, Ali & Rafiee, Shahin & Mohtasebi, Seyed Saeid & Rafiee, Hamed, 2010. "Energy inputs – yield relationship and cost analysis of kiwifruit production in Iran," Renewable Energy, Elsevier, vol. 35(5), pages 1071-1075.
    6. Pishgar Komleh, S.H. & Keyhani, A. & Rafiee, Sh. & Sefeedpary, P., 2011. "Energy use and economic analysis of corn silage production under three cultivated area levels in Tehran province of Iran," Energy, Elsevier, vol. 36(5), pages 3335-3341.
    7. Unakitan, G. & Hurma, H. & Yilmaz, F., 2010. "An analysis of energy use efficiency of canola production in Turkey," Energy, Elsevier, vol. 35(9), pages 3623-3627.
    8. Çetin, Bahattin & Vardar, Ali, 2008. "An economic analysis of energy requirements and input costs for tomato production in Turkey," Renewable Energy, Elsevier, vol. 33(3), pages 428-433.
    9. Engler, Nicholas & Krarti, Moncef, 2021. "Review of energy efficiency in controlled environment agriculture," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    10. Naseri, Hakim & Parashkoohi, Mohammad Gholami & Ranjbar, Iraj & Zamani, Davood Mohammad, 2021. "Energy-economic and life cycle assessment of sugarcane production in different tillage systems," Energy, Elsevier, vol. 217(C).
    11. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Mousazadeh, Hossein & Rajaeifar, Mohammad Ali, 2014. "Application of artificial neural networks for prediction of output energy and GHG emissions in potato production in Iran," Agricultural Systems, Elsevier, vol. 123(C), pages 120-127.
    12. Lucchi, Elena, 2018. "Applications of the infrared thermography in the energy audit of buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3077-3090.
    13. Soltanali, Hamzeh & Nikkhah, Amin & Rohani, Abbas, 2017. "Energy audit of Iranian kiwifruit production using intelligent systems," Energy, Elsevier, vol. 139(C), pages 646-654.
    14. Taheri-Rad, Alireza & Khojastehpour, Mehdi & Rohani, Abbas & Khoramdel, Surur & Nikkhah, Amin, 2017. "Energy flow modeling and predicting the yield of Iranian paddy cultivars using artificial neural networks," Energy, Elsevier, vol. 135(C), pages 405-412.
    15. Aremu, A.K. & Kadiri, A.O. & Bello, W.O., 2019. "Energy usage for field operations of tobacco: A case study of some towns in OYO state," Energy, Elsevier, vol. 185(C), pages 1106-1113.
    16. Yilmaz, Ibrahim & Akcaoz, Handan & Ozkan, Burhan, 2005. "An analysis of energy use and input costs for cotton production in Turkey," Renewable Energy, Elsevier, vol. 30(2), pages 145-155.
    17. World Health Organization, 2017. "Tobacco and its environmental impact: an overview," University of California at San Francisco, Center for Tobacco Control Research and Education qt8tp3r5rc, Center for Tobacco Control Research and Education, UC San Francisco.
    18. Rostami, Sajad & Choobin, Somayeh & Samani, Bahram Hosseinzadeh & Esmaeili, Zahra & Zareiforoush, Hemad, 2017. "Analysis and Modeling of Yield, CO2 Emissions, and Energy for Basil Production in Iran using Artificial Neural Networks," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 7(1), March.
    19. Kazemi, Hossein & Kamkar, Behnam & Lakzaei, Somayeh & Badsar, Meysam & Shahbyki, Malihe, 2015. "Energy flow analysis for rice production in different geographical regions of Iran," Energy, Elsevier, vol. 84(C), pages 390-396.
    20. Tabatabaie, Seyed Mohammad Hossein & Rafiee, Shahin & Keyhani, Alireza, 2012. "Energy consumption flow and econometric models of two plum cultivars productions in Tehran province of Iran," Energy, Elsevier, vol. 44(1), pages 211-216.
    21. Hemmati, Abolfazl & Tabatabaeefar, Ahmad & Rajabipour, Ali, 2013. "Comparison of energy flow and economic performance between flat land and sloping land olive orchards," Energy, Elsevier, vol. 61(C), pages 472-478.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cheng, Qingyue & Li, Liangyu & Liao, Qin & Fu, Hao & Nie, Jiangxia & Luo, Yongheng & Wang, Zhonglin & Yin, Huilai & Shu, Chuanhai & Chen, Zongkui & Sun, Yongjian & Ma, Jun & Li, Na & Yang, Zhiyuan, 2023. "Is scale production more advantageous than smallholders for Chinese rice production?," Energy, Elsevier, vol. 283(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Elsoragaby, Suha & Yahya, Azmi & Mahadi, Muhammad Razif & Nawi, Nazmi Mat & Mairghany, Modather, 2019. "Energy utilization in major crop cultivation," Energy, Elsevier, vol. 173(C), pages 1285-1303.
    2. Soltanali, Hamzeh & Nikkhah, Amin & Rohani, Abbas, 2017. "Energy audit of Iranian kiwifruit production using intelligent systems," Energy, Elsevier, vol. 139(C), pages 646-654.
    3. Morteza Zangeneh & Narges Banaeian & Sean Clark, 2021. "Meta-Analysis on Energy-Use Patterns of Cropping Systems in Iran," Sustainability, MDPI, vol. 13(7), pages 1-28, March.
    4. Hossein Jargan & Abbas Rohani & Armaghan Kosari-Moghaddam, 2022. "Application of modeling techniques for energy analysis of fruit production systems," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2616-2639, February.
    5. Rajaeifar, Mohammad Ali & Akram, Asadolah & Ghobadian, Barat & Rafiee, Shahin & Heidari, Mohammad Davoud, 2014. "Energy-economic life cycle assessment (LCA) and greenhouse gas emissions analysis of olive oil production in Iran," Energy, Elsevier, vol. 66(C), pages 139-149.
    6. Elahi, Ehsan & Zhang, Zhixin & Khalid, Zainab & Xu, Haiyun, 2022. "Application of an artificial neural network to optimise energy inputs: An energy- and cost-saving strategy for commercial poultry farms," Energy, Elsevier, vol. 244(PB).
    7. Pishgar-Komleh, Seyyed Hassan & Keyhani, Alireza & Mostofi-Sarkari, Mohammad Reza & Jafari, Ali, 2012. "Energy and economic analysis of different seed corn harvesting systems in Iran," Energy, Elsevier, vol. 43(1), pages 469-476.
    8. Sara Ilahi & Yongchang Wu & Muhammad Ahsan Ali Raza & Wenshan Wei & Muhammad Imran & Lyankhua Bayasgalankhuu, 2019. "Optimization Approach for Improving Energy Efficiency and Evaluation of Greenhouse Gas Emission of Wheat Crop using Data Envelopment Analysis," Sustainability, MDPI, vol. 11(12), pages 1-16, June.
    9. Pritpal Singh & Gurdeep Singh & G. P. S. Sodhi, 2022. "Data envelopment analysis based optimization for improving net ecosystem carbon and energy budget in cotton (Gossypium hirsutum L.) cultivation: methods and a case study of north-western India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2079-2119, February.
    10. Tabatabaie, Seyed Mohammad Hossein & Rafiee, Shahin & Keyhani, Alireza & Heidari, Mohammad Davoud, 2013. "Energy use pattern and sensitivity analysis of energy inputs and input costs for pear production in Iran," Renewable Energy, Elsevier, vol. 51(C), pages 7-12.
    11. Singh, Pritpal & Singh, Gurdeep & Sodhi, G.P.S., 2019. "Energy auditing and optimization approach for improving energy efficiency of rice cultivation in south-western Punjab, India," Energy, Elsevier, vol. 174(C), pages 269-279.
    12. Yuan, Shen & Peng, Shaobing, 2017. "Input-output energy analysis of rice production in different crop management practices in central China," Energy, Elsevier, vol. 141(C), pages 1124-1132.
    13. Rajabi Hamedani, Sara & Keyhani, Alireza & Alimardani, Reza, 2011. "Energy use patterns and econometric models of grape production in Hamadan province of Iran," Energy, Elsevier, vol. 36(11), pages 6345-6351.
    14. Elahi, Ehsan & Khalid, Zainab, 2022. "Estimating smart energy inputs packages using hybrid optimisation technique to mitigate environmental emissions of commercial fish farms," Applied Energy, Elsevier, vol. 326(C).
    15. Elahi, Ehsan & Weijun, Cui & Jha, Sunil Kumar & Zhang, Huiming, 2019. "Estimation of realistic renewable and non-renewable energy use targets for livestock production systems utilising an artificial neural network method: A step towards livestock sustainability," Energy, Elsevier, vol. 183(C), pages 191-204.
    16. Hemmati, Abolfazl & Tabatabaeefar, Ahmad & Rajabipour, Ali, 2013. "Comparison of energy flow and economic performance between flat land and sloping land olive orchards," Energy, Elsevier, vol. 61(C), pages 472-478.
    17. Yuan, Shen & Peng, Shaobing & Wang, Dong & Man, Jianguo, 2018. "Evaluation of the energy budget and energy use efficiency in wheat production under various crop management practices in China," Energy, Elsevier, vol. 160(C), pages 184-191.
    18. Asgharipour, Mohammad Reza & Mondani, Farzad & Riahinia, Shahram, 2012. "Energy use efficiency and economic analysis of sugar beet production system in Iran: A case study in Khorasan Razavi province," Energy, Elsevier, vol. 44(1), pages 1078-1084.
    19. Ghatrehsamani, Shirin & Ebrahimi, Rahim & Kazi, Salim Newaz & Badarudin Badry, Ahmad & Sadeghinezhad, Emad, 2016. "Optimization model of peach production relevant to input energies – Yield function in Chaharmahal va Bakhtiari province, Iran," Energy, Elsevier, vol. 99(C), pages 315-321.
    20. Naseri, Hakim & Parashkoohi, Mohammad Gholami & Ranjbar, Iraj & Zamani, Davood Mohammad, 2021. "Energy-economic and life cycle assessment of sugarcane production in different tillage systems," Energy, Elsevier, vol. 217(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:endesu:v:24:y:2022:i:2:d:10.1007_s10668-021-01552-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.