Fuzzy Knowledge-Based Model for Prediction of the Terminal Velocities of the Chickpea and Dry Bean Seeds

Serhat Soylu, Kazım Çarman, Ergün Çıtıl


Aerodynamic properties of solid materials have long been used to convey and separate seeds during harvest and postharvest operations. In this study, the terminal velocities of chickpea (Cicer arietinum L.) and dry bean (Phaseolus vulgaris L.) seeds as a function of seed mass and projected area were determined and also it was predicted by the fuzzy knowledge-based model. The results showed that the terminal velocity increased non linearly from 6.46 to 7.567m s-1 for chickpea and from 5.224 to 6.463 m s-1 for dry bean with an increase in seed mass and projected area. In this paper, a sophisticated intelligent model, based on Mamdani approach fuzzy modeling principles, was developed to predict the terminal velocities of chickpea and dry bean seeds. The verification of the proposed model is achieved via various numerical error criteria. The relative error of predicted values was found to be less than the acceptable limits (10%).


Seed; Terminal Velocity; Physical Properties; Fuzzy Expert System; Prediction

Full Text:



Afonso JPC, Correa PC, Pinto FAC, Queiroz DM (2007). Aerodynamic properties of coffee cherries and beans. Biosystems Engineering, 98, 39-46.

Baryeh EA (2002). Physical properties of millet. Jour-nal of Food Engineering, 51(1): 39-46.

Çarman K, Taner A (2012). Prediction of tire tractive performance by using artificial neural networks. Mathematical and Computational Applications, 17 (3): 182-192.

Çarman K (1996). Some physical properties of lentil seeds. Journal of Agricultural Engineering Re-search, 63, 87-92.

Çarman K (2008). Prediction of Soil Compaction Un-der Pneumatic Tires a Using Fuzzy Logic Approach. Journal of Terramechanics, 45(4), 103-108.

Farzaneh V, Ghodsvalı A, Bakhshabadı H, Ganje M, Dolatabadı Z, Carvalho I (2017). Modelling of the selected physical properties of the fava bean with various moisture contents using fuzzy logic design. Journal of Food Process Engineering, 40, 1-9.

Gupta RK, Arora G, Sharma R (2007). Aerodynamic properties of sunflower seed (Helianthus annuus L.). Journal of Food Engineering, 79, 899-904.

Isık E, İzli N (2007). Moisture Dependent Physical and Mechanical Properties of Dent Corn (Zea mays var. indentata Sturt.) Seeds. American Journal of Food Technology, 2 (5), 342-353.

Jha SN, Kachru RP (2007). Physical and aerodynamic properties of makhana. The Journal of Food Pro-cess Engineering, 21, 301-316.

Kashaninejad M, Mortazavi A, Safekordi A, Tabil LG (2006). Some physical properties of pistachio (Pis-tacia vera L.) nut and its kernel. Journal of Food Engineering, 72, 30–38.

Kural H (1995). Determining of terminal velocities of some crops in free fall. Selçuk University, Graduate School of Natural and Applied Sciences of Agricultural Machinery, Master Thesis (In Turkish).

Mazloumzadeh SM, Shamsi H, Nezamabadi-pour H (2010). Fuzzy logic to classify date palm trees based on some physical properties related to preci-sion agriculture. Precision Agriciculture, 11:258-273. Mikailsoy F, Çarman K, Özbek O (2018). Non-linear modelling to describe the wind erosion rate in different tillage practices. Fresenius Environmental Bulletin, 27 (3), 1604-1612.

Mohsenin NN (1978). Physical Properties of Plant and Animal Materials. Gordon Breach Sci. Press, New York, USA.

Nalbandi H, Seiiedlou S, Ghassemzadeh HR (2010). Aerodynamic properties of Turgenia latifolia seeds and wheat kernels. International Agrophysics, 24, 57-61

Omobuwajo TO, Akande EA, Sanni LA (1999). Se-lected physical, mechanical and aerodynamic properties of African breadfruit (Treculia africana) seeds. Journal of Food Engineering 40, 241-244.

Razavi SMA, Rafe A, Akbari R (2007). Terminal ve-locity of pistachio nut and its kernel as affected by moisture content and variety. African Journal of Agricultural Research, 2(12), 663-666.

Roy K, Mukherjee A, Jana DK (2019). Prediction of maximum oil-yield from almond seed in a chemical industry: A novel type-2 fuzzy logic approach. South African Journal of Chemical Engineering, 29, 1-9.

Shahbazi F, Valizadeh S, Dowlatshah A (2014). Aero-dynamic properties of Makhobeli, triticale and wheat seeds. International Agrophys, 28, 389-394

Shahbazi F, Valizadeh S, Dowlatshah A, Hassanzadeh E (2015). Aerodynamic properties of lentil seeds. International Agrophysics, 29, 391-396.

Vursavaş K, Özgüven F (2005). Fracture Resistance of Pine Nuts to Compressive Loading. Biosystems En-gineering, 90(2): 185-191.

Yang CC, Prasher SO, Landry JA, Perret J, Ramaswa-my HS (2005). Recognition of weeds with image processing and their use with fuzzy logic for preci-sion farming. Canadian Agricultural Engineering, 42, 195–200.

Zadeh LA (1965). Fuzzy sets. Information and Con-trol, 8, 338–353.

Zewdu AD (2007). Aerodynamic properties of tef grain and straw material. Biosystems Engineering, 98, 304 – 309.

DOI: http://dx.doi.org/10.15316/SJAFS.2020.201


  • There are currently no refbacks.

Creative Commons Lisansı
Bu eser Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.