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

Authors : Serhat SOYLU, Kazım ÇARMAN, Ergün ÇITIL

Pages : 99-106

View : 18 | Download : 29

Publication Date : 2020-04-20

Article Type : Research Paper

Abstract :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 insert ignore into journalissuearticles values(Cicer arietinum L.); and dry bean insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(10%);.
Keywords : Seed, Terminal velocity, Physical properties, Fuzzy Expert System, Prediction