WORKABILITY AND MACHINERY PERFORMANCE FOR WHEAT HARVESTING | ||||
| Misr Journal of Agricultural Engineering | ||||
| Article 6, Volume 27, Issue 1, January 2010, Page 90-103 PDF (433.89 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjae.2010.106860 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Z.E. Ismail1; A.E. Abdel-Mageed2 | ||||
| 1Prof. of Power technology and farm machinery, Ag. Eng., Dept., Mansoura Un., Egypt. | ||||
| 2Assis. Res. Ag. Eng., Ag. Eng. Res. Inst. (AEnRI) Ag. Res. Center, Egypt. | ||||
| Abstract | ||||
| The present study was carried out to evaluate three harvesting systems based on machine and workability of the operations performance for wheat production. Wheat is the most unique of all grain crops in its adaptability to harvested in different method. Three methods under study are evaluated, namely: green combine-bagger or tank (first method; reaper + thresher (second method) and the manual (third method). The evaluation of harvesting systems involves a number of modeling approaches and the models fall into: The first is evaluating machine performance by measuring machine capacity and the labour requirement. The second parameter is workability, which is calculated measuring the two mean factors, mainly, the length of harvesting period and potential harvesting hours. The third is economical evolution which is dun calculating fixed costs, operating costs and optimal harvesting capacity. It is important that unproductive work be minimized. Therefore, Optimum harvesting operations as well as good systems is needed to minimize the cost and obtain maximum profits. The required of the labour number for three systems under studies were 5; 2; 15 and 23 labour per harvesting systems for combine with tank, combine with bagger, "reaper + thresher" and "manual + thresher" systems respectively. Also, the total manual energy required "kW.h/ton" recorded 0.8 kW.h/fed while; it was about 6.73 kW.h/fed for the manual system. Regarding to the purchase price of combine machine, the power per unite area is very small but the inertia cost is very height. | ||||
| References | ||||
|
Abd El-Mageed, H.N., M.H. Ramadan and M.M. Ibrahim (1987). A mathematical model for predicting optimum power and machinery sizes in a three year crop rotation in Egypt. Misr, J. Agric. Eng. 4(2): 134-148.
Agrimach (2002). Agrimach Multimedia: The International Source for Agricultural Machinery. European Commission – DG XIII – Programme Info2000. Regione Emilia-Romagna.
Atzema, A. J. (1990). Moisture distribution within a maize crop due to dew. Netherlands Journal of Agricultural Sciences 38:117-129.
Atzema, A. J. (1994). From the weather forecast to the prognostic moisture content of agricultural crops. Thesis, Wageningen Agricultural University, The Netherlands.
Audsley, E. (1984). Use of weather uncertainty, compaction and timeliness in the selection of optimum machinery for autumn field work: A dynamic programme. Journal of Agricultural Engineering Research 29(2):141-149.
Audsley, E. and D. S. Boyce (1974). A method of minimizing the costs of combine-harvesting and high temperature grain drying. Journal of Agricultural Engineering Research 19(2):173-188.
Bender, D. A., D. E. Kline and B. A. McCarl (1990). Postoptimal linear-programming analysis of farm machinery. Transactions of the ASAE 33:15-20.
Chancellor, W.J. (1981). Substituting information for energy in agriculture. Trans. ASAE 24(4): 802-807.
De Toro A., A. & Hansson, P.A. (2004b). Analysis of field machinery performance based on daily soil workability status using discrete event simulation or on average workday probability. Agricultural Systems 79, 109-129.
Edward, W. and M. Boehije (1980). Machinery selection considering timeliness losses. Trans. Of the ASAE 23: 810-815.
Ekman, S. (2000). Tillage system selection: a mathematical programming model incorporating weather variability. Journal of Agricultural Engineering Research 77:267-276.
Elrick, J. D. (1982). How to choose and use combines. Publication No. 88. Edinburgh: East of Scotland College of Agriculture.
Goense, D. (1987). Mechanised Farming in the Humid Tropics with Special Reference to Soil Tillage, Workability and Timeliness of Farm Operations: A Case Study for Zanderij Area of Suriname. Wageningen, the Netherlands: Agricultural University of Wageningen.
Have, H. (1991). Planning and Control in Agricultural Field Mechanisation. Frederiksberg C, Denmark: The Royal Veterinary and Agricultural University.
Henrichsmeyer, F., J. Ohls and K. Winter (1995). Leistung und Kosten von Arbeitsverfahren in Grossbetrieben (Work requirement and costs on large farms). Landtechnik 50:296-297.
Hunt, D. (1995). Farm Power and Machinery Management. Ames, Iowa: Iowa State University Press.
Ismail, Z.E.; M.M. Ibrahim and S.A. Embaby (2009). Economic evaluation and selection of farm machinery. Misr J. Ag. Eng., 26(4): 746-757
Jannot, P. and D. Cairol (1994). Linear programming as an aid to decision-making for investments in farm equipment for arable farms. Journal of Agricultural Engineering Research 59:173-179.
Lundin, G. and S. Claesson (1985). Skõrdetrõskning (Combine harvesting). Publication 409. Uppsala, Sweden: Swedish Institute of Agricultural Engineering. Lyngby, Denmark.
Nilsson, B. (1972). Optimering av maskinkapacitet vid spanmålsskord. Rapport nr. 11. Uppsala, Sweden: Institutionen för Arbetsmetodik och Teknik, Lantbrukshögskolan.
Nilsson, B. (1987). Planering av arbets- och maskinsystem- resultat och erfarenheter. Uppsala: Department of Agricultural Engineering, Swedish University of Agricultural Sciences. (Institutionsmed de lande 87:03).
Parmar, R. S., R. W. McClendon and W. D. Potter (1996). Farm machinery selection using simulation and genetic algorithms. Transactions of the ASAE 39(5):1905-1909.
Philips, P. R. and J. R. O’Callaghan (1974). Cereal harvesting: A mathematical model. Journal of Agricultural Engineering Research 19:415-433.
Soerensen, C.G. (2003). Workability and Machinery Sizing for Combine Harvesting. Agricultural Engineering International: the CIGR Journal of Scientific Research and Development. Manuscript PM 03 003 Vol V.
Srivastava, A.K., Goering, C.E., Rohrbach, R.P. & Buckmaster, D.R. (2006). Engineering Principles of Agricultural Machines. 2nd edition. St. Joseph, Michigan, USA: American Society of Agricultural and Biological Engineers.
Tsai, Y. J., J. W. Jones and J. W. Mishoe (1987). Optimizing multiple cropping systems: A systems approach. Transactions of the ASAE 30(6):1554-1561.
Witney, B. (1995). Choosing and Using Farm Machines. UK: Longman Scientific and Technical. WMO. 1974. Manual on Codes. Vol I. World Meteorological Organization, No. 306. Geneva, Switzerland: WMO. | ||||
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