Soil Moisture Content as a Determining Factor for Machinery Selection

  • Abdelkarim D. Elfadil 1Department of Agricultural Engineering, Faculty of Agricultural Sciences, University of Gezira, Wad Medani, Sudan
  • Mohammed A. Ali 1Department of Agricultural Engineering, Faculty of Agricultural Sciences, University of Gezira, Wad Medani, Sudan
  • Hassan I..Mohammed 2Department of Agricultural Engineering, Faculty of Agriculture, University of Sudan for Science and Technology, Shambat, Sudan

الملخص

By applying the soil moisture content (SMC) prediction model to the weather data for the period from 1981-1993, the suitable workdays were obtained. Testing these results from the Rahad Scheme data records showed high significance. The correlation coefficient was found to be 0.99. show the effect of timeliness cost, a utilization factor (Ut) was determined by dividing the available working days by the total days. The utilization factor is then adjusted using a range of reliability from 30-80% depending on spare part availability and skilled labour. Further analysis were made to demonstrate the effect of workable days on the selection of implement width and cost using good, bad and average rainy seasons and different levels of reliabilities. It was found that the machine width was by the rainfall frequency.

المراجع

Burrows, W.C. and J.C. Siemens. 1974. Determination of optimum
machinery for corn-soybean farms. Transactions of the American
Society of Agricultural Engineering 6: 1130-113.
Eradat Oskoui, K. 1981. Agricultural Mechanization Systems Analysis, Tractor Power Selection for Tillage Operations. Ph.D. Thesis, University of Edinburgh, United Kingdom.
Hertz. E.J., and M. L. Esmay. 1983. A field machinery selection model for wheat producers in Andes, south-central Chile. Paper no. 83-5006, presented at the 1983 summer meeting. American Society of Agricultural Engineering. St Joseph, Michigan. USA.
Hunt, D.R. 1977. Farm Power and Machinery Management. 7th Edition. Iowa State University Press, Ames. USA.
Kepner, R.A., R. Bainer and E.L. Barger. 1978. Principles of Farm
Machinery. 3rd Edition. AVI Publishing Inc. Westport, Connecticut, U.S.A. Rahad Annual Report. 1997.
Schwab, G.O., R.K. Frevert, T. W. Edminster and K.K. Barnes. 1966.
Soil and Water Conservation Engineering.3rd Edition John Wiley and Sons Inc. New York-London.
Selirio, I.S. and D.M. Brown. 1972. Estimation of spring 'workdays from climatological records. Canadian Agricultural Engineering 14:79-81.
Simalenga, T.E. 1989. Simulation model to predict field workdays and its use in Inachinery selection under tropical conditions. Ph.D. Thesis, Royal Veterinary and Agricultural University. Agrovej, Denmark.
Witney, B.D. and K. Eradat Oskoui. 1982. The basis of tractor power selection on arable farm. Journal of Agricultural Engineering Research 27:.513-527.
Von Borgen, K. 1967. A system approach to harvesting alfaalfa hay.
Transactions of the American Society of Agricultural Engineering
10(3):318-319
منشور
2021-06-28
كيفية الاقتباس
D. ELFADIL, Abdelkarim; A. ALI, Mohammed; I..MOHAMMED, Hassan. Soil Moisture Content as a Determining Factor for Machinery Selection. المجلة الزراعية, [S.l.], v. 2, n. 2, p. 152-162, june 2021. ISSN 1728-9556. متوفر في: <http://37.60.236.48/index.php/gjas/article/view/2010>. تأريخ الوصول: 03 june 2026.
صيغ الاقتباسات
إصدار
مجلد 2 عدد 2 (2004)
القسم
Articles