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Modeling of energy consumption and GHG (greenhouse gas) emissions in wheat production in Esfahan province of Iran using artificial neural networks

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Cited by:

  1. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Mousazadeh, Hossein & Shamshirband, Shahaboddin & Hamid, Siti Hafizah Ab, 2015. "Developing a fuzzy clustering model for better energy use in farm management systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 27-34.
  2. 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.
  3. Jamali, Mohsen & Soufizadeh, Saeid & Yeganeh, Bijan & Emam, Yahya, 2021. "A comparative study of irrigation techniques for energy flow and greenhouse gas (GHG) emissions in wheat agroecosystems under contrasting environments in south of Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
  4. Antanasijević, Davor & Pocajt, Viktor & Ristić, Mirjana & Perić-Grujić, Aleksandra, 2015. "Modeling of energy consumption and related GHG (greenhouse gas) intensity and emissions in Europe using general regression neural networks," Energy, Elsevier, vol. 84(C), pages 816-824.
  5. 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.
  6. Ye, Wenlian & Wang, Xiaojun & Liu, Yingwen, 2020. "Application of artificial neural network for predicting the dynamic performance of a free piston Stirling engine," Energy, Elsevier, vol. 194(C).
  7. Zhao, Rongqin & Liu, Ying & Tian, Mengmeng & Ding, Minglei & Cao, Lianhai & Zhang, Zhanping & Chuai, Xiaowei & Xiao, Liangang & Yao, Lunguang, 2018. "Impacts of water and land resources exploitation on agricultural carbon emissions: The water-land-energy-carbon nexus," Land Use Policy, Elsevier, vol. 72(C), pages 480-492.
  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. Mariangela Diacono & Alessandro Persiani & Elena Testani & Francesco Montemurro & Corrado Ciaccia, 2019. "Recycling Agricultural Wastes and By-products in Organic Farming: Biofertilizer Production, Yield Performance and Carbon Footprint Analysis," Sustainability, MDPI, vol. 11(14), pages 1-17, July.
  11. Elsoragaby, Suha & Yahya, Azmi & Mahadi, Muhammad Razif & Nawi, Nazmi Mat & Mairghany, Modather, 2019. "Analysis of energy use and greenhouse gas emissions (GHG) of transplanting and broadcast seeding wetland rice cultivation," Energy, Elsevier, vol. 189(C).
  12. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Mousazadeh, Hossein, 2013. "Applying data envelopment analysis approach to improve energy efficiency and reduce GHG (greenhouse gas) emission of wheat production," Energy, Elsevier, vol. 58(C), pages 588-593.
  13. Darius Juknevičius & Zita Kriaučiūnienė & Algirdas Jasinskas & Egidijus Šarauskis, 2020. "Analysis of Changes in Soil Organic Carbon, Energy Consumption and Environmental Impact Using Bio-Products in the Production of Winter Wheat and Oilseed Rape," Sustainability, MDPI, vol. 12(19), pages 1-15, October.
  14. Bakhshandeh, Esmaeil & Jamali, Mohsen & Emadi, Mostafa & Francaviglia, Rosa, 2022. "Greenhouse gas emissions and financial analysis of rice paddy production scenarios in northern Iran," Agricultural Water Management, Elsevier, vol. 272(C).
  15. Motamedolshariati, Seyed Masoud & Sadrnia, Hassan & Aghkhani, Mohammad Hossein & Khojastehpour, Mehdi, 2017. "Modelling of Greenhouse Gas Emissions from Wheat Production in Irrigated and Rain-Fed Systems in Khorasan Razavi Province, Iran," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 7(1), March.
  16. Vlontzos, G. & Pardalos, P.M., 2017. "Assess and prognosticate green house gas emissions from agricultural production of EU countries, by implementing, DEA Window analysis and artificial neural networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 155-162.
  17. 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).
  18. Kazemi, Hossein & Bourkheili, Saeid Hassanpour & Kamkar, Behnam & Soltani, Afshin & Gharanjic, Kambiz & Nazari, Noor Mohammad, 2016. "Estimation of greenhouse gas (GHG) emission and energy use efficiency (EUE) analysis in rainfed canola production (case study: Golestan province, Iran)," Energy, Elsevier, vol. 116(P1), pages 694-700.
  19. 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.
  20. 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.
  21. Uzlu, Ergun & Akpınar, Adem & Özturk, Hasan Tahsin & Nacar, Sinan & Kankal, Murat, 2014. "Estimates of hydroelectric generation using neural networks with the artificial bee colony algorithm for Turkey," Energy, Elsevier, vol. 69(C), pages 638-647.
  22. Xiaobo Xue Romeiko & Zhijian Guo & Yulei Pang & Eun Kyung Lee & Xuesong Zhang, 2020. "Comparing Machine Learning Approaches for Predicting Spatially Explicit Life Cycle Global Warming and Eutrophication Impacts from Corn Production," Sustainability, MDPI, vol. 12(4), pages 1-19, February.
  23. İnayet Özge Aksu & Tuğçe Demirdelen, 2022. "The New Prediction Methodology for CO 2 Emission to Ensure Energy Sustainability with the Hybrid Artificial Neural Network Approach," Sustainability, MDPI, vol. 14(23), pages 1-29, November.
  24. 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.
  25. Hossein Kazemi Author- Department of Agronomy, Gorgan University of Agricultural Sciences and Natural Resources (GUASNR), Iran, 2016. "Energy Balance in Modern Agroecosystems; Why and How?," Agricultural Research & Technology: Open Access Journal, Juniper Publishers Inc., vol. 1(5), pages 101-104, June.
  26. Soltanali, Hamzeh & Nikkhah, Amin & Rohani, Abbas, 2017. "Energy audit of Iranian kiwifruit production using intelligent systems," Energy, Elsevier, vol. 139(C), pages 646-654.
  27. Zeynep Ceylan, 2020. "Assessment of agricultural energy consumption of Turkey by MLR and Bayesian optimized SVR and GPR models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 944-956, September.
  28. Taghavifar, Hamid & Mardani, Aref & Karim Maslak, Haleh, 2015. "A comparative study between artificial neural networks and support vector regression for modeling of the dissipated energy through tire-obstacle collision dynamics," Energy, Elsevier, vol. 89(C), pages 358-364.
  29. 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.
  30. Alireza Taghdisian & Sandra G. F. Bukkens & Mario Giampietro, 2022. "A Societal Metabolism Approach to Effectively Analyze the Water–Energy–Food Nexus in an Agricultural Transboundary River Basin," Sustainability, MDPI, vol. 14(15), pages 1-25, July.
  31. Hamed Rafiee & Milad Aminizadeh & Elham Mehrparvar Hosseini & Hanane Aghasafari & Ali Mohammadi, 2022. "A Cluster Analysis on the Energy Use Indicators and Carbon Footprint of Irrigated Wheat Cropping Systems," Sustainability, MDPI, vol. 14(7), pages 1-19, March.
  32. Spyros Niavis & Nikos Tamvakis & Basil Manos & George Vlontzos, 2018. "Assessing and Explaining the Efficiency of Extensive Olive Oil Farmers: The Case of Pelion Peninsula in Greece," Agriculture, MDPI, vol. 8(2), pages 1-13, February.
  33. Heidari, Mohammad Davoud & Turner, Ian & Ardestani-Jaafari, Amir & Pelletier, Nathan, 2021. "Operations research for environmental assessment of crop-livestock production systems," Agricultural Systems, Elsevier, vol. 193(C).
  34. Georgios Gaidajis & Ilias Kakanis, 2020. "Life Cycle Assessment of Nitrate and Compound Fertilizers Production—A Case Study," Sustainability, MDPI, vol. 13(1), pages 1-13, December.
  35. Bhunia, Snehasish & Karmakar, Subrata & Bhattacharjee, Suvendu & Roy, Kingshuk & Kanthal, Sahely & Pramanick, Mahadev & Baishya, Aniket & Mandal, Biswapati, 2021. "Optimization of energy consumption using data envelopment analysis (DEA) in rice-wheat-green gram cropping system under conservation tillage practices," Energy, Elsevier, vol. 236(C).
  36. Sara González-García & Fernando Almeida & Miguel Brandão, 2023. "Do Carbon Footprint Estimates Depend on the LCA Modelling Approach Adopted? A Case Study of Bread Wheat Grown in a Crop-Rotation System," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
  37. Uzlu, Ergun & Kankal, Murat & Akpınar, Adem & Dede, Tayfun, 2014. "Estimates of energy consumption in Turkey using neural networks with the teaching–learning-based optimization algorithm," Energy, Elsevier, vol. 75(C), pages 295-303.
  38. Zhen, Wei & Qin, Quande & Qian, Xiaoying & Wei, Yi-Ming, 2018. "Inequality across China's Staple Crops in Energy Consumption and Related GHG Emissions," Ecological Economics, Elsevier, vol. 153(C), pages 17-30.
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