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

Serhat Soylu; Kazım Çarman; Ergün Çıtıl

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

Öz

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%).

Anahtar Kelimeler

Ayrıntılar

Birincil Dil

İngilizce

Konular

Ziraat Mühendisliği

Bölüm

Araştırma Makalesi

Yazarlar

Serhat Soylu Bu kişi benim
Türkiye

Kazım Çarman Bu kişi benim
Türkiye

Ergün Çıtıl Bu kişi benim
Türkiye

Yayımlanma Tarihi

20 Nisan 2020

Gönderilme Tarihi

11 Mart 2020

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2020 Cilt: 34 Sayı: 1

IZ

https://izlik.org/JA97NY78YZ

Kaynak Göster

RIS / Bibtex

APA

Soylu, S., Çarman, K., & Çıtıl, E. (2020). Fuzzy Knowledge-Based Model for Prediction of the Terminal Velocities of the Chickpea and Dry Bean Seeds. Selcuk Journal of Agriculture and Food Sciences, 34(1), 99-106. https://izlik.org/JA97NY78YZ

AMA

1.Soylu S, Çarman K, Çıtıl E. Fuzzy Knowledge-Based Model for Prediction of the Terminal Velocities of the Chickpea and Dry Bean Seeds. Selcuk J Agr Food Sci. 2020;34(1):99-106. https://izlik.org/JA97NY78YZ

Chicago

Soylu, Serhat, Kazım Çarman, ve Ergün Çıtıl. 2020. “Fuzzy Knowledge-Based Model for Prediction of the Terminal Velocities of the Chickpea and Dry Bean Seeds”. Selcuk Journal of Agriculture and Food Sciences 34 (1): 99-106. https://izlik.org/JA97NY78YZ.

EndNote

Soylu S, Çarman K, Çıtıl E (01 Nisan 2020) Fuzzy Knowledge-Based Model for Prediction of the Terminal Velocities of the Chickpea and Dry Bean Seeds. Selcuk Journal of Agriculture and Food Sciences 34 1 99–106.

IEEE

[1]S. Soylu, K. Çarman, ve E. Çıtıl, “Fuzzy Knowledge-Based Model for Prediction of the Terminal Velocities of the Chickpea and Dry Bean Seeds”, Selcuk J Agr Food Sci, c. 34, sy 1, ss. 99–106, Nis. 2020, [çevrimiçi]. Erişim adresi: https://izlik.org/JA97NY78YZ

ISNAD

Soylu, Serhat - Çarman, Kazım - Çıtıl, Ergün. “Fuzzy Knowledge-Based Model for Prediction of the Terminal Velocities of the Chickpea and Dry Bean Seeds”. Selcuk Journal of Agriculture and Food Sciences 34/1 (01 Nisan 2020): 99-106. https://izlik.org/JA97NY78YZ.

JAMA

1.Soylu S, Çarman K, Çıtıl E. Fuzzy Knowledge-Based Model for Prediction of the Terminal Velocities of the Chickpea and Dry Bean Seeds. Selcuk J Agr Food Sci. 2020;34:99–106.

MLA

Soylu, Serhat, vd. “Fuzzy Knowledge-Based Model for Prediction of the Terminal Velocities of the Chickpea and Dry Bean Seeds”. Selcuk Journal of Agriculture and Food Sciences, c. 34, sy 1, Nisan 2020, ss. 99-106, https://izlik.org/JA97NY78YZ.

Vancouver

1.Serhat Soylu, Kazım Çarman, Ergün Çıtıl. Fuzzy Knowledge-Based Model for Prediction of the Terminal Velocities of the Chickpea and Dry Bean Seeds. Selcuk J Agr Food Sci [Internet]. 01 Nisan 2020;34(1):99-106. Erişim adresi: https://izlik.org/JA97NY78YZ