- Amid, S., & Mesri, G. T. (2017). Prediction of output energies for broiler production using linear regression, ANN (MLP, RBF), and ANFIS models. Environmental Progress and Sustainable Energy, 36, 577–585.
Paper not yet in RePEc: Add citation now
- Antonopoulos, V. Z., & Antonopoulos, A. V. (2017). Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables. Computers and Electronics in Agriculture., 132, 86–96.
Paper not yet in RePEc: Add citation now
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, 185, 1106–1113.
- Asgharipour, M. R., Mousavinik, S. M., & Enayat, F. F. (2016). Evaluation of energy input and greenhouse gases emissions from alfalfa production in the Sistan region Iran. Energy Reports, 2, 135–140.
Paper not yet in RePEc: Add citation now
- Bakhtiari, A. A., Hematian, A., & Sharifi, A. (2015). Energy analyses and greenhouse gas emissions assessment for saffron production cycle. Environmental Science and Pollution Research, 22(20), 16184–16201.
Paper not yet in RePEc: Add citation now
- Bekhet, H. A., & Abdullah, A. (2010). Energy use in agriculture sector: Input-output analysis. International Business Research, 3(3), 111–121.
Paper not yet in RePEc: Add citation now
- Bolandnazar, E., Rohani, A., & Taki, M. (2020). Energy consumption forecasting in agriculture by artificial intelligence and mathematical models. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 42(13), 1618–1632.
Paper not yet in RePEc: Add citation now
- Canakci, M. (2010). Energy use pattern and economic analyses of pomegranate cultivation in Turkey. African Journal of Agricultural Research, 5(7), 491–499.
Paper not yet in RePEc: Add citation now
Cetin, B., & Vardar, A. (2008). An economic analysis of energy requirements and input costs for tomato production in Turkey. Renewable Energy, 33(3), 428–433.
- Daut, M. A. M., Hassan, M. Y., Abdullah, H., Rahman, H. A., Abdullah, M. P., & Hussin, F. (2017). Building electrical energy consumption forecasting analysis using conventional and artificial intelligence methods: A review. Renewable and Sustainable Energy Reviews, 70, 1108–1118.
Paper not yet in RePEc: Add citation now
- Elhag, M., & Boteva, S. (2019). Conceptual assessment of energy input-output analysis and data envelopment analysis of greenhouse crops in Crete Island. Greece. Environmental Science and Pollution Research, 26(35), 35377–35386.
Paper not yet in RePEc: Add citation now
- Emadi, B., Nikkhah, A., Khojastehpour, M., & Payman, H. (2014). Effect of Farm Size on Energy Consumption and Input Costs of Peanut Production in Guilan Province of Iran. Journal of Agricultural Machinery, 5(1), 217–227. https://doi.org/10.22067/jam.v5i1.24894 (In Persian).
Paper not yet in RePEc: Add citation now
Engler, N., & Krarti, M. (2021). Review of energy efficiency in controlled environment agriculture. Renewable and Sustainable Energy Reviews, 141, 110786.
- Esmaeilpour-Troujeni, M., Khojastehpour, M., Vahedi, A., & Emadi, B. (2018). Sensitivity analysis of energy inputs and economic evaluation of pomegranate production in Iran. Information Processing in Agriculture, 5(1), 114–123.
Paper not yet in RePEc: Add citation now
- European Commission. (2012). Direttiva 2012/27/UE del Parlamento Europeo e del Consiglio del 25 ottobre 2012 sull'efficienza energetica, che modifica le direttive 2009/125/CE e 2010/30/UE e abroga le direttive 2004/8/CE e 2006/32/CE. Gazzetta ufficiale dell’Unione Europea n. L., 315(1).
Paper not yet in RePEc: Add citation now
- Faostat, F., Agriculture Organization of the United Nations Statistics Division. Economic and Social Development Department, Rome, Italy. Available online: http://www.fao.org/faostat/en/#home (Accessed on 23 September 2019).
Paper not yet in RePEc: Add citation now
- Farjam, A., Omid, M., Akram, A., & Fazel, N. Z. (2014). A neural network based modeling and sensitivity analysis of energy inputs for predicting seed and grain corn yields. Journal of Agricultural Science and Technology, 16(4), 767–778.
Paper not yet in RePEc: Add citation now
- Fath, A. H., Madanifar, F., & Abbasi, M. (2020). Implementation of multilayer perceptron (MLP) and radial basis function (RBF) neural networks to predict solution gas-oil ratio of crude oil systems. Petroleum, 6(1), 80–91.
Paper not yet in RePEc: Add citation now
- Firouzi, S., Nikkhah, A., & Rosentrater, K. A. (2017). An integrated analysis of non-renewable energy use, GHG emissions, carbon efficiency of groundnut sole cropping and groundnut-bean intercropping agro-ecosystems. Environmental Progress and Sustainable Energy. https://doi.org/10.1002/ep.12621 .
Paper not yet in RePEc: Add citation now
- Firouzi, S., Nikkhah, A., Khojastehpour, M., & Mholden, N. (2016). Energy use efficiency, GHG emissions, and carbon efficiency of paddy rice production in Iran. Energy Equipment and Systems, 4(2), 169–176.
Paper not yet in RePEc: Add citation now
- Food and Agriculture Organisation (FAO). (2011). Energy-smart food for people and climate. Issue paper © FAO 20112.
Paper not yet in RePEc: Add citation now
Ghatrehsamani, S., Ebrahimi, R., Kazi, S. N., Badry, A. B., & Sadeghinezhad, E. (2016). Optimization model of peach production relevant to input energies–yield function in Chaharmahal va Bakhtiari province, Iran. Energy, 99, 315–321.
- Gowreesunker, B. L., & Tassou, S. A. (2015). Approaches for modelling the energy flow in food chains. Energy, Sustainability and Society, 5(1), 7.
Paper not yet in RePEc: Add citation now
Hemmati, A., Tabatabaeefar, A., & Rajabipour, A. (2013). Comparison of energy flow and economic performance between flat land and sloping land olive orchards. Energy, 61, 472–478.
- Hosseinzadeh-Bandbafha, H., Nabavi-Pelesaraei, A., & Shamshirband, S. (2017). Investigations of energy consumption and greenhouse gas emissions of fattening farms using artificial intelligence methods. Environmental Progress and Sustainable Energy, 36(5), 1546–1559.
Paper not yet in RePEc: Add citation now
- Hosseinzadeh-Bandbafha, H., Safarzadeh, D., Ahmadi, E., & Nabavi-Pelesaraei, A. (2018). Optimization of energy consumption of dairy farms using data envelopment analysis—A case study: Qazvin city of Iran. Journal of the Saudi Society of Agricultural Sciences., 17(3), 217–228.
Paper not yet in RePEc: Add citation now
- Huerto-Cardenas, H. E., Leonforte, F., Aste, N., Del Pero, C., Evola, G., Costanzo, V., & Lucchi, E. (2020). Validation of dynamic hygrothermal simulation models for historical buildings: State of the art, research challenges and recommendations. Building and Environment, 180, 107081.
Paper not yet in RePEc: Add citation now
- Imran, M., Özçatalbaş, O., & Bashir, M. K. (2020). Estimation of energy efficiency and greenhouse gas emission of cotton crop in South Punjab, Pakistan. Journal of the Saudi Society of Agricultural Sciences., 19(3), 216–224.
Paper not yet in RePEc: Add citation now
- Ju, X., Gu, B., Wu, Y., & Galloway, J. N. (2016). Reducing China’s fertilizer use by increasing farm size. Global Environmental Change, 41, 26–32.
Paper not yet in RePEc: Add citation now
- Karimi, M., & Moghaddam, H. (2018). On-farm energy flow in grape orchards. Journal of the Saudi Society of Agricultural Sciences, 17(2), 191–194.
Paper not yet in RePEc: Add citation now
Kazemi, H., Kamkar, B., Lakzaei, S., Badsar, M., & Shahbyki, M. (2015a). Energy flow analysis for rice production in different geographical regions of Iran. Energy, 84, 390–396.
- Kazemi, H., Shahbyki, M., & Baghbani, S. (2015b). Energy analysis for faba bean production: A case study in Golestan province Iran. Sustainable Production and Consumption, 3, 15–20.
Paper not yet in RePEc: Add citation now
Khoshnevisan, B., Rafiee, S., Omid, M., Mousazadeh, H., & Rajaeifar, M. A. (2014). Application of artificial neural networks for prediction of output energy and GHG emissions in potato production in Iran. Agricultural Systems, 123, 120–127.
Khoshnevisan, B., Rafiee, S., Omid, M., Yousefi, M., & Movahedi, M. (2013). Modeling of energy consumption and GHG (greenhouse gas) emissions in wheat production in Esfahan province of Iran using artificial neural networks. Energy, 52, 333–338.
- Khoshroo, A., Emrouznejad, A., Ghaffarizadeh, A., Kasraei, M., & Omid, M. (2018). Sensitivity analysis of energy inputs in crop production using artificial neural networks. Journal of Cleaner Production., 197, 992–998.
Paper not yet in RePEc: Add citation now
- Kilic, I. (2016). Analysis of the energy efficiency of poultry houses in the Bursa region of Turkey. Journal of Applied Animal Research, 44(1), 165–172.
Paper not yet in RePEc: Add citation now
- Kitani O. (1999) CIGR Handbook of Agricultural Engineering. Energy and Biomass Engineering, ASAE publication, St Joseph, MI, 5, 330.
Paper not yet in RePEc: Add citation now
- Külekçi, M., & Aksoy, A. (2013). Input–output energy analysis in pistachio production of Turkey. Environmental Progress and Sustainable Energy, 32(1), 128–133.
Paper not yet in RePEc: Add citation now
- Kumar, V., Saharawat, Y. S., Gathala, M. K., Jat, A. S., Singh, S. K., Chaudhary, N., & Jat, M. L. (2013). Effect of different tillage and seeding methods on energy use efficiency and productivity of wheat in the Indo-Gangetic Plains. Field Crops Research, 142, 1–8.
Paper not yet in RePEc: Add citation now
- Levine A. (2012) Energy Efficiency in Agriculture: A Review of the Role of the Federal Government and State and Private Entities. An Alliance to Save Energy White Paper.
Paper not yet in RePEc: Add citation now
Lucchi, E. (2018). Applications of the infrared thermography in the energy audit of buildings: A review. Renewable and Sustainable Energy Reviews, 82, 3077–3090.
- Mobtaker, H. G., Keyhani, A., Mohammadi, A., Rafiee, S., & Akram, A. (2010). Sensitivity analysis of energy inputs for barley production in Hamedan Province of Iran. Agriculture, Ecosystems and Environment, 137(3), 367–372.
Paper not yet in RePEc: Add citation now
- Mohammadi-Barsari, A., Firouzi, S., & Aminpanah, H. (2016). Energy-use pattern and carbon footprint of rain-fed watermelon production in Iran. Info Proc Agric, 3(2), 69–75.
Paper not yet in RePEc: Add citation now
Mohammadi, A., Rafiee, S., Mohtasebi, S. S., & Rafiee, H. (2010). Energy inputs–yield relationship and cost analysis of kiwifruit production in Iran. Renewable Energy, 35(5), 1071–1075.
- Mohammadshirazi, A., Akram, A., Rafiee, S., Avval, S. H., & Kalhor, E. B. (2012). An analysis of energy use and relation between energy inputs and yield in tangerine production. Renewable and Sustainable Energy Reviews, 16(7), 4515–4521.
Paper not yet in RePEc: Add citation now
- Mohapatra, A. K., & Pradhan, K. C. (2017). Agronomic and energy-efficiency evaluation of alternative cropping system for pikka tobacco (Nicotiana tabacum L.) in Odisha. Environment and Ecology., 35(3D), 2550–2554.
Paper not yet in RePEc: Add citation now
- Nabavi-Pelesaraei A, Rafiee S, Hosseini-Fashami F, Chau KW (2021) Artificial neural networks and adaptive neuro-fuzzy inference system in energy modeling of agricultural products. In: Predictive Modelling for Energy Management and Power Systems Engineering (pp. 299–334). Elsevier.
Paper not yet in RePEc: Add citation now
- Nabavi-Pelesaraei, A., Abdi, R., & Rafiee, S. (2016a). Neural network modeling of energy use and greenhouse gas emissions of watermelon production systems. Journal of the Saudi Society of Agricultural Sciences, 15(1), 38–47.
Paper not yet in RePEc: Add citation now
- Nabavi-Pelesaraei, A., Rafiee, S., Hosseinzadeh-Bandbafha, H., & Shamshirband, S. (2016b). Modeling energy consumption and greenhouse gas emissions for kiwifruit production using artificial neural networks. Journal of Cleaner Production., 133, 924–931.
Paper not yet in RePEc: Add citation now
Naseri, H., Parashkoohi, M. G., Ranjbar, I., & Zamani, D. M. (2021). Energy-economic and life cycle assessment of sugarcane production in different tillage systems. Energy, 217, 119–252.
- Nikkhah, A., Emadi, B., Shabanian, F., & Hamzeh-Kalkenari, H. (2014). Energy sensitivity analysis and greenhouse gas emissions for tea production in guilan province Iran. Agroecology, 6(3), 622–633. (In Persian).
Paper not yet in RePEc: Add citation now
- Nikzad M, Bastani M, Mehrabi Boshrabadi H (2013) The analysis of energy consumption efficiency and productivity in the agricultural sector of Iran: input-output pattern. Third National Congress on Fuel, Energy and Environment. (September 17th and 18th).
Paper not yet in RePEc: Add citation now
- Ozkan, B., Akcaoz, H., & Fert, C. (2004). Energy input–output analysis in Turkish agriculture. Renewable Energy, 29, 39–51.
Paper not yet in RePEc: Add citation now
- Pham, B. T., Nguyen, M. D., Bui, K. T., Prakash, I., Chapi, K., & Bui, D. T. (2019). A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil. CATENA, 173, 302–311.
Paper not yet in RePEc: Add citation now
Pishgar-Komleh, S. H., Keyhani, A., Rafiee, Sh., & Sefeedpary, P. (2011a). Energy use and economic analysis of corn silage production under three cultivated area levels in Tehran province of Iran. Energy, 36, 3335–3341.
- Pishgar-Komleh, S. H., Sefeedpari, P., & Ghahderijani, M. (2012). Exploring energy consumption and CO2 emission of cotton production in Iran. Journal of Renewable and Sustainable Energy, 4(3), 033115.
Paper not yet in RePEc: Add citation now
Pishgar-Komleh, S. H., Sefeedpari, P., & Rafiee, S. (2011b). Energy and economic analysis of rice production under different farm levels in Guilan province of Iran. Energy, 36(10), 5824–5831.
- Rajaniemi, M., & Ahokas, J. (2015). Direct energy consumption and CO2 emissions in a Finnish broiler house – a case study. Agric Food Sci, 24, 10–23.
Paper not yet in RePEc: Add citation now
- Ren, C., Liu, S., Van Grinsven, H., Reis, S., Jin, S., Liu, H., & Gu, B. (2019). The impact of farm size on agricultural sustainability. Journal of Cleaner Production, 220, 357–367.
Paper not yet in RePEc: Add citation now
Rostami, S., Choobin, S., Samani, B. H., Esmaeili, Z., & Zareiforoush, H. (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, 7(1), 47–58.
- Sahabi, H., Feizi, H., & Karbasi, A. (2016). Is saffron more energy and economic efficient than wheat in crop rotation systems in northeast Iran? Sustainable Production and Consumption, 5, 29–35.
Paper not yet in RePEc: Add citation now
- Sedaghat-Hosseini, M., Mohammadi, A., Arezou, M., & Beheshti, A. M. K. (2014). Determination of relationship between wheat farm size and energy indexes in west Azerbaijan province Iran. Agricultural Engineering International: CIGR Journal, 16(3), 131–137.
Paper not yet in RePEc: Add citation now
- Shahin, S., Jafari, A., Mobli, H., Rafiee, S., & Karimi, M. (2008). Effect of farm size on energy ratio for wheat production: A case study from Ardabil province of Iran. American-Eurasian Journal of Agricultural and Environmental Science, 3(4), 604–608.
Paper not yet in RePEc: Add citation now
- Sharma, S., & Sharma, S. (2017). Activation functions in neural networks. Towards Data Science, 6(12), 310–316.
Paper not yet in RePEc: Add citation now
- Singh, M., Singh, G., & Singh, H. (2012). Energy audit: A case study to reduce lighting cost. Asian Journal of Computer Science and Information Technology, 2(5), 119–122.
Paper not yet in RePEc: Add citation now
- Snedecor, G. W., & Cochran, W. G. (1980). Statistical Methods (7th ed.). Iowa State University Press.
Paper not yet in RePEc: Add citation now
- Soheili-Fard, F., & Salvatian, S. B. (2015). Forecasting of tea yield based on energy inputs using artificial neural networks (a case study: Guilan province of Iran). Biological Forum, 7(1), 1432–1438.
Paper not yet in RePEc: Add citation now
- Soltanali, H., Emadi, B., Rohani, A., Khojastehpour, M., & Nikkhah, A. (2016). Optimization of energy consumption in milk production units through integration of data envelopment analysis approach and sensitivity analysis. Iranian Journal of Applied Animal Science, 6(1), 15–23.
Paper not yet in RePEc: Add citation now
Soltanali, H., Nikkhah, A., & Rohani, A. (2017). Energy audit of Iranian kiwifruit production using intelligent systems. Energy, 139, 646–654.
- Soni, P., Sinha, R., & Perret, S. R. (2018). Energy use and efficiency in selected rice-based cropping systems of the Middle-Indo Gangetic Plains in India. Energy Reports., 4, 554–564.
Paper not yet in RePEc: Add citation now
Tabatabaie, S. M. H., Rafiee, S., & Keyhani, A. (2012). Energy consumption flow and econometric models of two plum cultivars productions in Tehran province of Iran. Energy, 44(1), 211–216.
- Taghavifar, H., & Mardani, A. (2015). Prognostication of energy consumption and greenhouse gas (GHG) emissions analysis of apple production in West Azarbayjan of Iran using Artificial Neural Network. Journal of Cleaner Production, 87, 159–167.
Paper not yet in RePEc: Add citation now
Taheri-Rad, A., Khojastehpour, M., Rohani, A., Khoramdel, S., & Nikkhah, A. (2017). Energy Flow Modeling and Predicting the Yield of Iranian Paddy Cultivars Using Artificial Neural Networks. Energy, 135, 405–412.
- Taki, M., Rohani, A., Soheili-Fard, F., & Abdeshahi, A. (2018). Assessment of energy consumption and modeling of output energy for wheat production by neural network (MLP and RBF) and Gaussian process regression (GPR) models. Journal of Cleaner Production, 172, 3028–3041.
Paper not yet in RePEc: Add citation now
- Thumann, A., & Younger, W. J. (2008). Handbook of energy audits. The Fairmont Press.
Paper not yet in RePEc: Add citation now
- Tippayawong, N., Tantakitti, C., & Thavornun, S. (2004). Energy and emission based performance of an experimental tobacco bulk-curing barn. Chiang Mai University Journal., 3(1), 43–51.
Paper not yet in RePEc: Add citation now
- Troujeni, M. E., Khojastehpour, M., Vahedi, A., & Emadi, B. (2018). Sensitivity analysis of energy inputs and economic evaluation of pomegranate production in Iran. Information Processing in Agriculture, 5(1), 114–123.
Paper not yet in RePEc: Add citation now
Unakitan, G., Hurma, H., & Yilmaz, F. (2010). An analysis of energy use efficiency of canola production in Turkey. Energy, 2010(35), 3623–3627.
- Valiollahi-Bisheh, A. V., Veisi, H., Liaghati, H., Damghani, A. M. M., & Kambouzia, J. (2017). Embedding gender factor in energy input–output analysis of paddy production systems in Mazandaran Province Iran. Energy, Ecology and Environment, 2(3), 214–224.
Paper not yet in RePEc: Add citation now
- Wang, Q., & Yuan, Q. (2020). Energy-saving and emission reduction potential of the tobacco industry: A case study of China’s 18 cigarette enterprises. Journal of Cleaner Production, 244, 118429.
Paper not yet in RePEc: Add citation now
- Wang, Q., Han, R., Huang, Q., Hao, J., Lv, N., Li, T., & Tang, B. (2018b). Research on energy conservation and emissions reduction based on AHP-fuzzy synthetic evaluation model: A case study of tobacco enterprises. Journal of Cleaner Production, 201, 88–97.
Paper not yet in RePEc: Add citation now
- Wang, Q., Li, X. Y., Zhang, Z. T., Tao, Z. L., & Tang, B. J. (2018a). Carbon emissions reduction in tobacco primary processing line: A case study in China. Journal of Cleaner Production, 175, 18–28.
Paper not yet in RePEc: Add citation now
Wang, X., Chen, Y., Sui, P., Yan, P., Yang, X., & Gao, W. (2017). Preliminary analysis on economic and environmental consequences of grain production on different farm sizes in North China Plain. Agricultural Systems, 153, 181–189.
World Health Organization. (2017). Tobacco and its environmental impact: An overview. World Health Organization.
Yilmaz, I., Akcaoz, H., & Ozkan, B. (2005). An analysis of energy use and input costs for cotton production in Turkey. Renewable Energy, 30(2), 145–155.
- Zamani, P. (2010). Cultivation and processing of tobacco (1st ed.). Iran: Beh-andishan Press.
Paper not yet in RePEc: Add citation now
- Zhang, W., Qian, C., Carlson, K. M., Ge, X., Wang, X., & Chen, X. (2021). Increasing farm size to improve energy use efficiency and sustainability in maize production. Food and Energy Security., 10(1), e271.
Paper not yet in RePEc: Add citation now
- Ziaei, S. M., Mazloumzadeh, S. M., & Jabbary, M. (2015). A comparison of energy use and productivity of wheat and barley (case study). Journal of the Saudi Society of Agricultural Sciences, 14(1), 19–25.
Paper not yet in RePEc: Add citation now
- Zounemat-Kermani, M., & Mahdavi-Meymand, A. (2019). Hybrid meta-heuristics artificial intelligence models in simulating discharge passing the piano key weirs. Journal of Hydrology, 569, 12–21.
Paper not yet in RePEc: Add citation now