Abraham, A. & Jain, L. (2005). Evolutionary multiobjective optimization. Evolutionary Multiobjective Optimization, Springer, 1-6.
Alizadeh, M. & Haghtalab, D. (2019). Field Performance Assessment of Self-propelled and Knapsack Power Rice Reapers, and Comparison with Manual Harvesting. Agricultural Mechanization and Systems Research, 20(72), 55-72. (in Farsi)
Alizadeh, M. R. (2003). Field study of reaper performance in rice harvesting and comparison with traditional method. Journal of Agricultural Engineering Research, 3(13), 1-14. (in Farsi)
Almassi, M., Kiani, S. & Loveimi, N. (2008). Principles of agricultural mechanization. Tehran, Iran, Jungle Publication.
Askin, D. & Askin, V. (2012). Financial budget manual 2012, Lincoln University. Faculty of Commerce.
Banerjee, S. & Punekar, R. M. (2020). A sustainability-oriented design approach for agricultural machinery and its associated service ecosystem development. Journal of Cleaner Production, 121642.
Bezruk, Y., Lavèn, P., Hoffmann, C. & Doluschitz, R. (2014). Sustainability in agricultural machinery production-an empirical study among farmers. Landtechnik, 69(2), 84-89.
Bochtis, D., Sørensen, C. A. G. & Kateris, D. (2019). Choosing a Machinery System. Operations Management in Agriculture. D. Bochtis, C. A. G. Sørensen and D. Kateris, Academic Press: 117-158.
Bochtis, D. D., Sørensen, C. G. & Busato, P. (2014). Advances in agricultural machinery management: A review. Biosystems engineering, 126, 69-81.
Camarena, E., Gracia, C. & Sixto, J. C. (2004). A mixed integer linear programming machinery selection model for multifarm systems. Biosystems Engineering, 87(2), 145-154.
Corti, D., Granados, M. H., Macchi, M. & Canetta, L. (2013). Service-oriented business models for agricultural machinery manufacturers: Looking forward to improving sustainability. 2013 International Conference on Engineering, Technology and Innovation (ICE) & IEEE International Technology Management Conference.
Cupiał, M. & Kowalczyk, Z. (2020). Optimization of Selection of the Machinery Park in Sustainable Agriculture. Sustainability, 12(4), 1380.
De Toro, A., Gunnarsson, C., Lundin, G. & Jonsson, N. (2012). Cereal harvesting–strategies and costs under variable weather conditions. Biosystems Engineering, 111(4), 429-439.
Deb, K., Agrawal, S., Pratap, A. & Meyarivan, T. (2000). A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. International conference on parallel problem solving from nature, Springer.
Deb, K., Pratap, A., Agarwal, S. & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE transactions on evolutionary computation, 6(2): 182-197.
Emami, M., Almassi, M. & Bakhoda, H. (2018). Agricultural mechanization, a key to food security in developing countries: strategy formulating for Iran. Agriculture & Food Security, 7(1): 24.
Faiçal, B. S., H. Freitas, P. H. Gomes, L. Y. Mano, G. Pessin, A. C. P. L. F. de Carvalho, B. Krishnamachari & Ueyama, J. (2017). An adaptive approach for UAV-based pesticide spraying in dynamic environments. Computers and Electronics in Agriculture, 138: 210-223.
Fleming, P. H. (2003). Farm technical manual 2003.
García-Alcaraz, J., Maldonado-Macías, A., Hernández-Arellano, J., Blanco-Fernández, J., Jiménez-Macías, E. & Sáenz-Díez Muro, J. (2016). Agricultural tractor selection: a hybrid and multi-attribute approach. Sustainability 8(2), 157.
García-Alcaraz, J. L., Martínez-Loya, V., Maldonado-Macias, A. & Avelar-Sosa, L. (2017). Selection of Agricultural Technology: A Multi-attribute Approach. International Conference on Technologies and Innovation, Springer.
Gathorne-Hardy, A. (2016). The sustainability of changes in agricultural technology: The carbon, economic and labour implications of mechanisation and synthetic fertiliser use. Ambio, 45(8), 885-894.
Gunnarsson, C., Spörndly, R., Rosenqvist, H., De Toro, A. & Hansson, P. A. (2009). A method of estimating timeliness costs in forage harvesting illustrated using harvesting systems in Sweden. Grass and forage science, 64(3), 276-291.
Hahn, R. H. & Rosentreter, E. E. (1988). ASAE Standards 1987: Standards, Engineering Practices and Data Developed and Adopted by the American Society of Agricultural Engineers/ed.
Hasan Jani, H., Hosseini, M., Khadem Alhosseini, N. A. & Alizadeh, M. R. (2007). Evaluation of Different Rice Harvesting Methods in Gilan Province. Journal of Agriculture, 9(1), 23-38 (in Farsi).
Hormozi, M., Abdeshahi A., Asoodar, M. & Baruah, D. (2016). Energy use pattern of paddy production systems in khuzestan province, Iran. Iran Agricultural Research, 35(2), 47-56.
Hormozi, M. A., Asoodar, M. A. & Abdeshahi, A. (2012). Impact of mechanization on technical efficiency: A case study of rice farmers in Iran. Procedia Economics and Finance, 1, 176-185.
Keshvari, A. & Marzban, A. (2019). Prioritizing the Power Arrival in Khuzestan Province Agriculture using FAHP and FTOPSIS. Journal of Agricultural Machinery, 9(1), 235-251. (in Farsi)
Koritz, K. (2014). Optimization in a system of systems: Minimizing a farm's environmental impact through operational efficiency. Master Thesis, University of Illinois at Urbana-Champaign.
Landers, A. (2000). Farm machinery: selection, investment and management, Farming Press, United Business Media.
Leiva, F. & Morris, J. (2001). PH—Postharvest Technology: Mechanization and Sustainability in Arable Farming in England. Journal of Agricultural Engineering Research, 79(1), 81-90.
Li, P. & Zheng, Z. (2017). Minimized Cost Programming Method for Farming Machines’ Distribution Based on Reliability Analysis. 2017 ASABE Annual International Meeting. St. Joseph, MI, ASABE: 1.
Loveimi, N., Gilany, A. & Alizadeh, M. (2008). The Effect of Harvesting Method on Losses for Two Rice Varieties in Khouzestan Province. Journal of Agricultural Engineering Research, 9(3), 89-106. (in Farsi)
Mrema, G., Soni, P. & Rolle, R. (2014). A Regional Strategy for Sustainable Agricultural Mechanization. Sustainable Mechanization across Agri-Food Chains in Asia and the Pacific Region; Food and Agriculture Organization of the United Nations Regional Office for Asia and the Pacific: Bangkok, Thailand: 74.
Pandey, M. (2008). Mechanization of Hill Agriculture. Proceedings of Conference on Agricultural Mechanization Technologies for North East India, Organized by Division of Agricultural Engineering, ICAR Research Complex for NEH Region, Umiam, Meghalaya, India.
Radoglou-Grammatikis, P., P. Sarigiannidis, T. Lagkas & Moscholios, I. (2020). A compilation of UAV applications for precision agriculture. Computer Networks, 172: 107148.
Rahman, M. F., S. Fan, Y. Zhang & Chen, L. (2021). A Comparative Study on Application of Unmanned Aerial Vehicle Systems in Agriculture. Agriculture, 11 DOI: 10.3390/agriculture11010022.
Rahmati, M. H., Sohrabvandi, G. A., Khodadadi, M. & Razdari, A. M. (2014). Technical and Economic Evaluation of Rice Harvesting Methods in Shirvan-Chrdavol Region. Journal of Agricultural Machinery, 4(2), 378-386. (in Farsi)
Romanelli, T. L. & Milan, M. (2012). Machinery management as an environmental tool-material embodiment in agriculture. Agricultural Engineering International: CIGR Journal, 14 (1), 73-73.
Rostami, S., Lotfalian, M. & Hosseinzadeh Samani, B. (2018). Assessment and Comparison of Conventional and Straw Walker Combines Harvesting Losses in Fars Province. Agricultural Mechanization and Systems Research, 19: 85-96. (in Farsi)
Saaty, T. L. (1988). What is the analytic hierarchy process? Mathematical models for decision support, Springer: 109-121.
Safari, M. & Sheikhi Garjan, A. (2020). Comparison between unmanned aerial vehicle and tractor lance sprayer against Dubas bug Ommatissus lybicus (Hemiptera: Tropiduchidae). Iranian Journal of Plant Protection Science, 51(1): 13-26.
Safari, M., Alizadeh, M. R. & Gerami, K. (2014). Comparison of Three Conventional Rice Combine Harvesters in Mazandaran, Iran. Journal of Agricultural Engineering Research, 14(4), 73-86. (in Farsi)
Sahu, R. & Raheman, H. (2008). A decision support system on matching and field performance prediction of tractor-implement system. Computers and Electronics in Agriculture, 60(1), 76-86.
Sen, P. & Yang, J. B. (2012). Multiple criteria decision support in engineering design, Springer Science & Business Media.
Søgaard, H. T. & Sørensen, C. G. (2004). A model for optimal selection of machinery sizes within the farm machinery system. Biosystems Engineering, 89(1), 13-28.
Sopegno, A., Busato, P., Berruto, R. & Romanelli, T. L. (2016). A cost prediction model for machine operation in multi-field production systems. Scientia Agricola, 73(5), 397-405.
Sørensen, C. (2003). Workability and machinery sizing for combine harvesting. Agricultural Engineering International: CIGR Journal, 5, 1-19.
Witney, B. (1988). Choosing and using farm machines, Longman.
Zhou, Q., Lou, J., Xie, F. & Liu, Q. (2011). The method research on optimum selection of agricultural machinery. International Journal of Digital Content Technology and its Applications, 5(6), 337-334.
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