| تعداد نشریات | 24 |
| تعداد شمارهها | 877 |
| تعداد مقالات | 7,848 |
| تعداد مشاهده مقاله | 14,548,894 |
| تعداد دریافت فایل اصل مقاله | 12,276,862 |
Simulation of economic damage at mechanized wheat harvesting in Khuzestan province of Iran | ||
| Iran Agricultural Research | ||
| مقاله 8، دوره 36، شماره 1، تیر 2017، صفحه 61-72 اصل مقاله (611.87 K) | ||
| نوع مقاله: Full Article | ||
| شناسه دیجیتال (DOI): 10.22099/iar.2017.3880 | ||
| نویسندگان | ||
| E. Bougari* 1؛ H. Zaki dizaji2؛ M.A. Khorasani2 | ||
| 1Department of Agricultural Mechanization Engineering, Ramin Agriculture & Natural Resources University, Khuzestan, I. R. Iran | ||
| 2Department of Agricultural Faculty, Shahid Chamran University of Ahvaz, Ahvaz,I. R. Iran | ||
| چکیده | ||
| Abstract The aim of this research is to present a simulation model for reducing economic damages of mechanized wheat harvesting in the weather conditions of Khuzestan province and similar areas. The simulated model is composed of three sub-models, for determining of the appropriate working hours, grain losses, and economic sub-model. In order to determine the appropriate working hours, a mathematical model was devised. For determining the grain losses, 52 fields in Hamidieh, a small town in southwest of Iran were selected. Several mathematical models were developed for predicting the natural cutting platform and combine end losses plus the percentage of broken seed. The average appropriate working hours was obtained by a computer simulation model based on meteorological information of an 8 year period. The maximum acceptable speed for two the combines, 955 John Deere and TC56, was 2.5 and 4 km per hours, respectively. A minimum grain loss happened in 4 days after physiological maturity and the best time range for wheat harvesting in Khuzestan was 2 to 15 days after physiological maturity. At the beginning of the harvest season the combine loss in the early hours of day, due to high moisture of crop, was more than the mid-day time or afternoon. However, after 10 days of physiological maturity, the reverse happened. Results showed that despite the growing cost of delay in harvesting, no matter how vast the fields are it will not justify combine ownership; thus employing rental combines is more cost-effective in fields of any size in Khuzestan. | ||
| کلیدواژهها | ||
| Keywords: Wheat؛ Computer modeling؛ grain moisture content؛ combine؛ harvesting؛ losses | ||
| مراجع | ||
|
Abawi, G.Y., (1993). A simulation model of wheat harvesting and drying in northern Australia. Journal of Agricultural Engineering Research, 54, 141- 158.
Asadi, A.M., Akbari, Y., Mohammadi, G.H., & Hossaininia, H.G. (2010). Agricultural wheat waste management in Iran. Australian Journal of Basic and Applied Sciences, 4(3), 421-428.
Anonymous. (2015). Report the Statistical Center of Iran.
Anonymous. (2014). Report Central Bank of the Islamic Republic of Iran.
Audsley, E., & Boyce, D.S., (1974). A method of minimizing the costs of combine-harvesting and high temperature grain draying. Journal of Agricultural Engineering Research, 19 (2), 173-189.
Crampin, D.J., & Dalton, G.E. (1971). The determination of moisture content of standing grain from weather Record. Journal of Agricultural Engineering, 16, 88-91.
Damavandi, A Latifi ,N Dashtban, A R. 2007. Evaluation of seed vigour tests and its field efficiency in forage sorghum. Journal of Agricultural Sciences and Natural resources. 14:5, 17-24
DeToro, A., Gunnarsson, G., Lundin, G., & Jonsson, N. (2012). Cereal harvesting strategies and costs under variable weather conditions. Biosystem Engineering, (3), 429 – 439
DeJong, G.J., & Zelhorst, L. (1971). De invloed van het tijdstip van oogstennop de oopbrengst van granen [The relationship between time of harvesting and yield of cereal]. Interim Rapp. 265, Rijksdienst voor de Ijsselmeerpolders, Wetenschappelijke Afdeling, Kampen.
ISTA. (2009). International rules for seed testing. The International Seed Testing Association (ISTA).
Kliier, W.E., & Biggar, G.W. (1972). Some effects of harvest date and design features of the cutting table on the front losses of combine harvesters. Journal of Agricultural Engineering Research, 17(1), 71-78
Masdari, A., Khalili, M,J., & Kalantari, H. (2009). Predicting wheat losses and data analysis with method of Model Imaginary variables. National conference Agricultural Ministry and Mechanization 7. University of ferdosi of Mashhad (in Persion). .
Mcgechan, M.B. (1985). A parametric study of cereal harvesting models. Journal of Agricultural. Engineering Research, 31, 149 – 158.
Navid, H., Mohtasebi, S.S., & BehroozieLar, M. (2010). A mathematical model for losses of John Deere Combine 955series. Journal of Since of Agriculture, 19(2), 197-205. (in Farsi).
Nazmi, M.W., Chen, G., & Zare, D. (2010). The effect of different climatic conditions on wheat harvesting strategy and return. Biosystems Engineering, 106, 493 – 502.
Rahama, A.M., & Ali. M.E. (1990). On farm evaluation combain harvester losses in the gomin in sudan. Agricultural Mechanization in Asia, Africa and Latin America, 20(2), 27-31
Royce, F.S., Jones, J.W., & Hansan, J.W. (2001). Model – based optimization of crop management for [climate forecast applications. Transaction of The ASAE, 44, 1319 -1327.
Witney, B. (1995). Choosing and using farm machines. UK: Longman Scientific and Technical, gWMO. 1974. Manual on Codes. Vol I. World Meteorological Organization, No. 306. Switzerland: WMO. | ||
|
آمار تعداد مشاهده مقاله: 1,825 تعداد دریافت فایل اصل مقاله: 2,479 |
||