Potential assessment of neuro-fuzzy strategy in prognostication of draft parameters of primary tillage implement

Annals of Agrarian Science - Tập 16 - Trang 257-266 - 2018
S.M. Shafaei1, M. Loghavi1, S. Kamgar1, M.H. Raoufat1
1Department of Biosystems Engineering, School of Agriculture, Shiraz University, Shiraz, 71441-65186, Iran

Tài liệu tham khảo

Harrison, 1962, An analysis of draft, depth and speed of tillage equipment, Can. Agric. Eng., 4, 20 Dwyer, 1974, An investigation of the potential for improvement of tractor draught controls, J. Agric. Eng. Res., 19, 147, 10.1016/0021-8634(74)90029-8 Upadhyaya, 1984, Energy requirements for chiseling in coastal plain soils, Trans. ASAE (Am. Soc. Agric. Eng.), 27, 1643, 10.13031/2013.33019 Summers, 1986, Draft relationships for primary tillage in Oklahoma soils, Trans. ASAE (Am. Soc. Agric. Eng.), 29, 37, 10.13031/2013.30097 Bashford, 1991, Draft and energy requirements of agricultural implements in semi-arid regions of Morocco, Agric. Mech. Asia Afr. Lat. Am., 22, 79 Ismail, 1993, Draft and fuel requirements measurement using tractor on board data acquisition system, Pertanika J. Sci. Technol, 1, 51 Smith, 1993, Energy requirements for selected crop production implements, Soil Till. Res., 25, 281, 10.1016/0167-1987(93)90028-N Glancey, 1995, An improved technique for agricultural implement draught analysis, Soil Till. Res., 35, 175, 10.1016/0167-1987(95)00498-X Harrigan, 1995, Draft relationships for tillage and seeding equipment, Appl. Eng. Agric., 11, 773, 10.13031/2013.25801 Glancey, 1996, Prediction of agricultural implement draft using an instrumented analog tillage tool, Soil Till. Res., 37, 47, 10.1016/0167-1987(95)00507-2 Grisso, 1996, Tillage implement forces operating in silty clay loam, Trans. ASAE (Am. Soc. Agric. Eng.), 39, 1977, 10.13031/2013.27699 Kushwaha, 1996, Draft-speed relationship of simple tillage tools at high operating speeds, Soil Till. Res., 39, 61, 10.1016/S0167-1987(96)01052-5 Al-Janobi, 1998, Draft of primary tillage implements in sandy loam soil, Appl. Eng. Agric., 14, 343, 10.13031/2013.19392 Choi, 2000, Application of a neural network to dynamic draft model, Agric. Biosyst. Eng, 1, 67 Al-Janobi, 2001, Prediction of specific draft of different tillage implements using neural networks, Misr J. Ag. Eng, 18, 699 Thomas, 2002, Performance of tractor implement combination, Agric. Mech. Asia Afr. Lat. Am., 33, 25 Mamman, 2005, Draught performance of a range of model chisel furrowers, Agric. Eng. Int. CIGR Ejournal, VII Aboukarima, 2006, Assessment of different indices depicting soil texture for predicting chisel plow draft using neural networks, ASEJ, 27, 170 Aboukarima, 2007, Draft models of chisel plow based on simulation using artificial neural networks, Misr J. Ag. Eng, 24, 42 Godwin, 2007, A force prediction model for mouldboard ploughs incorporating the effects of soil characteristic properties, plough geometric factors and ploughing speed, Biosyst. Eng., 97, 117, 10.1016/j.biosystemseng.2007.02.001 Serrano, 2008, The forward speed effect on draught force required to pull trailed disc harrows, Spanish J. Agric. Res., 6, 182, 10.5424/sjar/2008062-309 Alimardani, 2009, Prediction of draft force and energy of subsoiling operation using ANN model, J. Food Agric. Environ., 7, 537 Roul, 2009, Predicting the draught requirement of tillage implements in sandy clay loam soil using an artificial neural network, Biosyst. Eng., 104, 476, 10.1016/j.biosystemseng.2009.09.004 Marakoglu, 2010, Fuzzy knowledge-based model for prediction of soil loosening and draft efficiency in tillage, J. Terramechanics, 47, 173, 10.1016/j.jterra.2009.10.001 Mohammadi, 2012, Modeling of draft force variation in a winged share tillage tool using fuzzy table look-up scheme, Agric. Eng. Int. CIGR J, 14, 262 Nkakini, 2012, Modeling tractive force requirements of wheel tractors for disc ploughing in sandy loam soil, Int. J. Eng. Technol., 2, 1707 Al-Hamed, 2013, Artificial neural network model for predicting draft and energy requirements of disk plow, J. Anim. Plant Sci., 23, 1714 Askari, 2013, Draft force inputs for primary and secondary tillage implements in a clay loam soil, World Appl. Sci. J., 21, 1789 Ranjbar, 2013, Modeling of moldboard plow draft force based on tillage depth and operation speed, Middle East J. Sci. Res., 17, 891 Moeenifar, 2013, Application of dimensional analysis in determination of traction force acting on a narrow blade, Intl. J. Agric. Crop Sci., 5, 1034 Akbarnia, 2014, Simulation of draft force of winged share tillage tool using artificial neural network model, Agric. Eng. Int. CIGR J, 16, 57 Moeenifar, 2014, Influence of tillage depth, penetration angle and forward speed on the soil/thin-blade interaction force, Agric. Eng. Int. CIGR J, 16, 69 Nkakini, 2015, Draught force requirements of a disc plough at various tractor forward speeds in loamy sand soil during ploughing, Int. J. Adv. Res. Sci. Eng. Technol, 6, 52 Nkakini, 2015, Measuring the sensitivity of parameters estimates to evaluate the tractive force model, Agric. Eng. Int. CIGR J, 17, 43 Al-Suhaibani, 2015, Study on the effect of soil moisture content and plowing speed on draft requirements of a moldboard plow, J. Adv. Agric, 4, 477, 10.24297/jaa.v4i3.4280 Ranjbarian, 2017, Performance of tractor and tillage implements in clay soil, J. Saudi Soc. Agric. Sci., 16, 154 Shafaei, 2017, Appraisal of Takagi-Sugeno-Kang type of adaptive neuro-fuzzy inference system for draft force prediction of chisel plow implement, Comput. Electron. Agric., 142, 406, 10.1016/j.compag.2017.09.023 Khoshnevisan, 2014, Development of an intelligent system based on ANFIS for predicting wheat grain yield on the basis of energy inputs, Info. Proc. Agri, 1, 14 Shafaei, 2015, Determining and modeling of static friction coefficient of some agricultural seeds, Jordan J. Agric. Sci., 11, 1007 Shafaei, 2016, Development of artificial intelligence based systems for prediction of hydration characteristics of wheat, Comput. Electron. Agric., 128, 34, 10.1016/j.compag.2016.08.014 Shafaei, 2018, On the neurocomputing based intelligent simulation of tractor fuel efficiency parameters SAA. Standards Association of Australia AS 1289 B1.1, 1977 Karparvarfard, 2015, Development of a fuel consumption equation: test case for a tractor chisel-ploughing in a clay loam soil, Biosyst. Eng., 130, 23, 10.1016/j.biosystemseng.2014.11.015 Rahmanian-Koushkaki, 2015, The effect of the operational characteristics of the tractor composite electronic measurement system by the standards of emotion on the performance of chisel plows in a clay loam soil, Agric. Eng. Int. CIGR J, 17, 44 1995, RNAM. RNAM test codes and procedures for farm machinery/Economic and Social Commission for Asia and the Pacific, vol. 12 Shafaei, 2017, A comprehensive investigation on static and dynamic friction coefficients of wheat grain with the adoption of statistical analysis, J. Adv. Res., 8, 351, 10.1016/j.jare.2017.04.003 ASABE. ASAE D497.7 MAR2011 (R2015), 2015 Jang, 1993, ANFIS: adaptive-network-based fuzzy inference system, IEEE Trans. Syst. Man. Cybern. Syst, 23, 665, 10.1109/21.256541 Shafaei, 2016, Analysis of water absorption of bean and chickpea during soaking using Peleg model, J. Saudi Soc. Agric. Sci., 15, 135 Shafaei, 2017, Experimental analysis and modeling of frictional behavior of lavender flowers (Lavandula stoechas L.), J. Appl. Res. Med. Aromat. Plants, 4, 5 Smith, 1988, Power requirements of conventional, triplex, and parabolic subsoilers, Trans. ASAE (Am. Soc. Agric. Eng.), 31, 1685, 10.13031/2013.30920 Naderloo, 2009, Tillage depth and forward speed effects on draft of three primary tillage implements in clay loam soil, J. Food Agric. Environ., 7, 382 Taghavifar, 2014, Prognostication of vertical stress transmission in soil profile by adaptive neuro-fuzzy inference system based modeling approach, Measurement, 50, 152, 10.1016/j.measurement.2013.12.035 Taghavifar, 2015, Evaluating the effect of tire parameters on required drawbar pull energy model using adaptive neuro-fuzzy inference system, Energy, 85, 586, 10.1016/j.energy.2015.03.072 Taghavifar, 2017 Al-Suhaibani, 2013, Comparative study of the kinetic parameters of three chisel plows operating at different depths and forward speed in a sandy soil, Int. J. Eng. Sci., 2, 42 Kepner, 2005 Mouazen, 2002, A numerical-statistical hybrid modelling scheme for evaluation of draught requirements of a subsoiler cutting a sandy loam soil, as affected by moisture content, bulk density and depth, Soil Till. Res., 63, 155, 10.1016/S0167-1987(01)00243-4 Cullum, 1989, Tillage energy requirements in interior Alaska, Soil Till. Res., 13, 317, 10.1016/0167-1987(89)90006-8 Novak, 2014, Measurement of stubble cultivator draught force under different soil conditions, Agron. Res., 12, 135 Al-Suhaibani, 1997, Draught requirements of tillage implements operating on sandy loam soil, J. Agric. Eng. Res., 66, 177, 10.1006/jaer.1996.0130 KarimiInchebron, 2012, Investigating the effect of soil moisture content and depth on the draught, specific draught and drawbar power of a light tractor, Int. Res. J. Basic Appl. Sci., 3, 2289 Ndisya, 2016, The effect of the operational parameters on the draft requirement of ripping in a sandy clay soil, Open J. Optim., 5, 1, 10.4236/ojop.2016.51001 Al-Suhaibani, 2010, Effect of plowing depth of tillage and forward speed on the performance of a medium size chisel plow operating in a sandy soil, Am. J. Agric. Biol. Sci., 5, 247, 10.3844/ajabssp.2010.247.255 Al-Suhaibani, 2010, Determination of kinetic parameters of a super heavy chisel plow under various operating conditions, Am. J. Appl. Sci., 7, 1148, 10.3844/ajassp.2010.1148.1156 Shafaei, 2018, A comparative study between mathematical models and the ANN data mining technique in draft force prediction of disk plow implement in clay loam soil, Agric. Eng. Int. CIGR J