Associate Prof. Dr. Ferhat KURTULMUŞ

Tel               : 0 (224) 294 16 00

E-mail         : ferhatk@uludag.edu.tr

Address            : Uludag University Faculty of Agriculture Biosystems Engineering Department, Görükle Campus 16059 Nilüfer / Bursa / TURKEY

 

Research interest: Sensor development, Precision Agriculture, Machine Vision, Image/Signal Processing, Neural Networks & Machine Learning

 

Education

 Degree

Program

University

Year

B.Sc.

Agricultural Engineering

University of Uludağ

2002

M.Sc.

Agricultural Engineering

University of Uludağ

2007

Ph.D.

Biosystems Engineering

University of Uludağ

2012

 

International Experience

Research Scholar in University of Florida, USA between 2010 - 2011

 

Publications                                                                                                                                

Journal Papers:

 

Kurtulmuş, E., Arslan, B., Kurtulmuş, F. 2022. Deep Learning for Proximal Soil Sensor Development Towards Smart Irrigation. Expert Systems With Applications, https://doi.org/10.1016/j.eswa.2022.116812.

 

Kurtulmuş, E., Kurtulmuş, F., Kuşçu, H., Arslan, B., Demir, A.O. 2022.Determination of Pipe Diameters for Pressurized Irrigation Systems Using Linear Programming and Artificial Neural Networks. Journal of Agricultural Sciences. https://doi.org/10.15832/ankutbd.936335.

 

Kurtulmuş, F. 2020. Identification of sunflower seeds with deep convolutional neural networks. Journal of Food Measurement and Characterization. https://doi.org/10.1007/s11694-020-00707-7.

 

Kurtulmuş, F., Öztüfekçi, S., & Kavdır, İ. 2018. Classification of chestnuts according to moisture levels using impact sound analysis and machine learning. Journal of Food Measurement and Characterization, 12(4), 2819-2834.

 

Kavdır, İ., Büyükcan, M. B., & Kurtulmuş, F. 2018. Classification of olives using FT-NIR spectroscopy, neural networks and statistical classifiers. Journal of Food Measurement and Characterization, 1-10.

 

Guldas, M., Kurtulmus, F., & Gurbuz, O. (2017). Prediction of Lethality by Nonlinear Artificial Neural Network Modeling. Journal of Food Process Engineering40(3), e12457.

 

Kurtulmuş, F.; Öztüfekçi, S.; Kavdır, İ. 2016. Identification of worm-damaged chestnuts using impact acoustics and support vector machine. Agronomy Research, 14(3), 801–810.

 

Arslan S., Tursun N., Kurtulmuş F., and Güleç D. 2016. Use of thermal images for optimizing burner height, operating pressure, and burner angle of a weed flamer. Agronomy Research, 14(x), xx–xx.

 

F. Kurtulmuş, I. Alibas, İ. Kavdır 2016. Classification of pepper seeds using machine vision based on neural network. Int J Agric & Biol Eng, 9(1): 51-62.

 

Vardar, A., Eker, B., Kurtulmuş, F., Taşkın, O. 2015. Developing Wind-Concentrator Systems for the Use of Wind Turbines in Areas with Low Wind-Speed Potentials. Energy Technology, 3(12), 1260–1270.

 

Kurtulmuş F., Ünal, H. 2015. Discriminating Rapeseed Varieties Using Computer Vision and Machine Learning. Expert Systems With Applications, 42, 1880-1891.

 

Kurtulmuş F., Kavdır, İ. 2014. Detecting Corn Tassels Using Computer Vision and Support Vector Machines. Expert Systems with Applications, 41(16), 7390–7397.

 

Kurtulmuş F., Gürbüz O.,Değirmencioğlu N. 2014. Discriminating Drying Method of Tarhana Using Computer Vision. Journal of Food Process Engineering, 37(4), 362-374.

 

Kurtulmuş, F., Ulu, T.C. 2014. Detection of Dead Entomopathogenic Nematodes in Microscope Images Using Computer Vision. Biosystems Engineering, 118, 29–38.

 

Kurtulmuş, F., W.S.Lee, A.Vardar 2014. Immature Peach Detection in Colour Images Acquired in Natural Illumination Conditions Using Statistical Classifiers and Neural Network. Precision Agriculture, 15(1), 57-79.

 

Kurtulmuş, F., W.S.Lee, A.Vardar 2011. Green citrus detection using ‘eigenfruit’, color and circular Gabor texture features under natural outdoor conditions. Computers and Electronics in Agriculture 78 (2011) 140–149.

 

Vardar A, Kurtulmuş F, Darga A (2011) Local indications of climate changes in Turkey: Bursa as a case example. Climatic Change. Vol.106: 255-266.

 

Vardar A, Eker B, Durgut MR, Okur E, Kurtulmuş F (2011) Modeling studies on the relation between wind speed and height: Tekirdag sample. Energy Education Science and Technology Part A: Energy Science and Research. Vol.27, No.2: 383-388.

 

Kurtulmuş, F., A. Vardar and N. İzli, “Aerodynamic Analyses of Different Wind Turbine Blade Profiles”, Journal of Applied Sciences. 7(5): 633-670 (2007).

 

İzli, N., A. Vardar and F. Kurtulmuş, “A Study on Aerodynamic Properties of Some NACA Profiles Used on Wind Turbine Blades”, Journal of Applied Sciences, 7(3): 426-433 (2007).

Conference papers:

 

Kurtulmuş F. 2020. An advanced method for determination of length and width of curvy crops using image processing: a case study with pepper. EUCONGRESS 2020 : The 2nd INTERNATIONAL EUROPEAN CONFERENCE ON INTERDISCIPLINARY SCIENTIFIC RESEARCHES, July 4-5, 2020 Ankara, Turkey.

 

Kavdır İ, Büyükcan M.B., Kurtulmuş F. 2017. Comparison of Artificial Neural Networks and Statistical Classifiers in Olive Sorting Using Near-Infrared Spectroscopy (Poster). ICAFS 2017 : 19th International Conference on Agrotechnology and Food Sciences, September 18-19, 2017 Rome, Italy.

 

Kavdır İ, Kurtulmuş F. 2017. Hyperspectral Imaging Techniques for Quality Detection of Agricultural Products (Poster). 13th International Congress on Mechanization and Energy in Agriculture & International Workshop on Precision Agriculture, September 13 - 15, 2017 Izmir, TURKEY.

·          

Kavdır İ., Büyükcan M.B., Kurtulmuş  F. 2016. Classification of olives using ft-nir spectroscopy and neural networks. APCBEES SAN FRANCISCO CONFERENCE, SAN FRANCISCO, ABD 44, 1.

·          

Kurtulmuş, F.; Öztüfekçi, S.; Kavdır, İ. 2016. Identification of worm-damaged chestnuts using impact acoustics and support vector machine. 7th International Conference  "Biosystems Engineering 2016" Tartu, Estonia.

·          

Arslan S., Tursun N., Kurtulmuş F., and Güleç D. 2016. Use of thermal images for optimizing burner height, operating pressure, and burner angle of a weed flamer. 7th International Conference  "Biosystems Engineering 2016" Tartu, Estonia.

·          

Öztüfekçi S., Kurtulmuş F., 2015. Using computer based determination techniques for agricultural purposes. 26th international scientific-expert conference of agriculture and food industry, 27th – 30th September 2015 Ilidža-Sarajevo, Bosnia and Herzegovina.

·          

Kurtulmuş  F., Lee W.S. Vardar  A., An Advanced Green Citrus Detection Algorithm Using Color Images and Neural Networks. 11th International Congress on Mechanization and Energy in Agriculture Tekirdağ 49  2011.

Domestic conferences:

 

Polat A., Kurtulmuş F., İzli N. 2018. Sürekli ve Kesikli Mikrodalga Yöntemleri Kullanılarak Kurutulan Elmanın Renk Değişim Analizi. 31. Ulusal Tarımsal Mekanizasyon ve Enerji Kongresi, s 71. Bursa 2018.

·          

Kurtulmuş, F., Kavdır, İ., Öztüfekçi, S. 2015. Çarpma akustik ve sinyal analizi yöntemleriyle kestane çeşitlerini sınıflandırma olanakları üzerine bir araştırma. 1. Ulusal Biyosistem Mühendisliği Kongresi, 9-11 Haziran 2015, Bursa.

·          

Vardar  A., Eker B., Kurtulmuş  F., Taşkın  O., Rüzgâr Hızı Potansiyeli Düşük Bölgelerde Rüzgâr Türbinlerinin Kullanılabilmesini Sağlayacak Rüzgâr Yoğunlaştırma Sistemlerinin Geliştirilmesi. 1. Ulusal Biyosistem Mühendisliği Kongresi, 9-11 Haziran 2015, Bursa.

·          

Kurtulmuş, F., Kavdır, İ. 2015. Bilgisayarlı öğrenme yöntemlerinin tarımda kullanılma olanakları üzerine bir inceleme. 2. İç Anadolu Bölgesi Tarım ve Gıda Kongresi, 28-30 Nisan 2015, Nevşehir 653 pp.

·          

Kurtulmuş, E., Kurtulmuş, F., Demir, A.O., 2015. Yapay sinir ağları kullanılarak basınçlı sulama sistemlerinde boru çaplarının belirlenmesi. 2. İç Anadolu Bölgesi Tarım ve Gıda Kongresi, 28-30 Nisan 2015, Nevşehir 97 pp.

·          

Kurtulmuş, F. 2014. Tarım ürünlerinin sınıflandırılması amacıyla çarpma akustik ve sinyal analiz yöntemlerinin kullanılması. ZMO Bursa Tarım Kongresi, 16-18 Ekim, Bursa.

·          

Kurtulmuş, F. 2014. Bilgisayarlı görme ve sayısal görüntü işleme yöntemlerinin tarımda uygulama alanları. ZMO Bursa Tarım Kongresi, 16-18 Ekim, Bursa.

·          

Kurtulmuş  F., Vardar  A.,Kavdır İ. Bahçe Koşullarında Alınmış Renkli Görüntülerde Doku ve Şekil Öznitelikleriyle Genç Şeftali Meyvelerinin Saptanması. 28. Ulusal Tarımsal Mekanizasyon Kongresi Konya, Türkiye 2013.

Domestic papers:

·          

Kurtulmuş, F., Öztüfekçi, S., Şehirli, S. 2016. Armut Meyvesinde Diplocarpon Mespili Lezyonlarının Görüntü İşlemeyle Analizi. Tekirdağ Ziraat Fakültesi Dergisi/Journal of Tekirdag Agricultural Faculty, 13(1), 1-11.

·          

Kurtulmuş, F., Vardar, A., Kavdır, İ. 2013. Bahçe Koşullarında Alınmış Renkli Görüntülerde Doku Ve Şekil Öznitelikleriyle Genç Şeftali Meyvelerinin Saptanması. Tarım Makinaları Bilimi Dergisi, 9(2), 141-148.

·          

Kurtulmuş, F., W.S.Lee, A.Vardar 2011. An Advanced Green Citrus Detection Algorithm Using Color Images and Neural Networks. Tarım Makinaları Bilimi Dergisi (Journal of Agricultural Machinery Science) 2011, 7 (2) s. 145-151.

·          

Vardar A., İzli N., Kurtulmuş, F. 2010. Aerodynamic Performance of Some Wind Turbine Rotor Models. Journal of Agricultural Faculty of Uludag University, 24(2): 1-9.

Anasayfaya Dön

İçerik Ekleme Tarihi : [07-Eki-2019]

İçerik Görüntüleme : [1.279]