Abd El Wahed, M. A. (2007). Draft models of chisel plow based on simulation using artificial neural networks. Misr J. Agr. Eng., 24(1): 42-61.
Abu-Hamdeh, N.H. and Reeder R.C. (2003). A nonlinear 3D finite element analysis of the soil forces acting on a disk plow. Soil and Tillage Research74:115-124.
Afify, M.T. (1999). Development of a combined tillage planting machine for row crops. Ph.D. Thesis. Agronomy and Agri. Eng. Department. College of Agriculture at Moshtohor, Zagazig University (Benha Branch).
Afify, M.T., El-Haddad Z. A. and Lamia D. A. A. (2020). Modeling the effect of soil-tool interaction on draft force using visual basic. Annals of Agri. Sci., Moshtohor. Vol. 58 (2) (2020): 223-232.
Afify, M.T., Kushwaha R.L., Milne W.G., El-Haddad Z.A., and El-Ansary M.Y. (1999). Power requirements of individual components of single unit till-planting systems. American Society of Agricultural Engineers (ASAE) paper no. 99-1087. 1999.
Akbarnia, A, Mohammadi A., Farhani F. and Alimardani R. (2014). Simulation of draft of winged share tillage tool using artificial neural network model. Agric. Eng. Int. CIGR Journal. 16(4):1-10.
Al-Hamed, S., Wahby M., Aboukarima A. and Ahmed K. (2014). Development of a computer program using visual basic for predicting performance parameters of tillage implements. Misr J. Ag. Eng., 31 (3): 1157 – 1190.
ASAE Standards (1998). Agricultural Machinery Management data (EP496.4 MAR94). St. Joseph, MI:ASAE, pp. 354-367.
Bocken N.M.P., Schuitc C.S.C. and Kraaijenhagen C. (2018). Experimenting with circular business model: Lessons from eight cases. Environmental Innovation and Societal Transitions Journal. Elsevier B.V. 2018
CAPMS (2019). Cultivated Area in Egypt. Annual book of central agency for public mobilization and statistics. (In Arabic).
Gill W.R., and Vanden B. (1968). Assessment of the dynamic properties of soils. Chapter 3 in soil dynamics in tillage and traction. Agriculture Handbook No. 316, pp. 55-116.Washington, D.C.:U.S. Government Printing Office.
Ibrahmi, A., Hatem B. and Aref M. (2014). Soil-blade orientation effect on tillage forces determined by 3D finite element models. Spanish Journal of Agricultural Research. 12(4): 941-951.
Kheiralla, F.A., Yahia A., Zohadie M. and Ishak W. (2004). Modelling of power and energy requirements for tillage implements operating on Serdang sandy clay loam, Malaysia. Soil and Tillage Research, 78: 21–34.
Moeenifar, A., Mousavi-Seyedi S. R. and Kalantari D. (2014). Influence of tillage depth, penetration angle and forward speed on the soil/thin-blade interaction force. Agricultural Engineering International: The CIGR Journal, 161: 69–74.
Rosa, U. A. (1997). Performance of narrow tillage tools with inertial and strain rate effects. Ph.D. Thesis. Department Agricultural and Bioresource Engineering. University of Saskatchewan. Canada.
Shahgholi, G., Kanyawi N. and Kalantari d. (2019). Modeling the effects of narrow blade geometry on soil failure draught and vertical forces using discrete element method. Research Article. YYÜ TAR BİL DERG, 29(1): 24-33.
Sohne, W. (1956). Some principles of soil mechanics as applied to agricultural engineering. Grundlagen der Landteckink 7:11-27 (NIAE Translation 53).
Tong, J. and Moayad B. Z. (2006). Effects of rake angle of chisel plow on soil cutting factors and power requirements: A computer simulation. Soil & Tillage Res., 88 (1-2): 55-64.
Ucgul, M, Fielke J. and Saunders C. (2014). 3D DEM tillage simulation: Validation of a hysteretic spring (plastic) contact model for a sweep tool in a cohesionless soil. Soil & Tillage Research 144:220-227.
Zhang, L., Cai Z., Wang L., Zhang R. and Liu H. (2018). Coupled Eulerian-Varangian finite element method for simulating soil-tool interaction. Science Direct journal.
)
View on SCiNiTO