| Green citrus detection using ‘eigenfruit’, color and circular Gabor texture features under natural outdoor conditions F Kurtulmus, WS Lee, A Vardar Computers and Electronics in Agriculture 78 (2), 140-149, 2011 | 212 | 2011 |
| Immature peach detection in colour images acquired in natural illumination conditions using statistical classifiers and neural network F Kurtulmus, WS Lee, A Vardar Precision agriculture 15, 57-79, 2014 | 126 | 2014 |
| Detecting corn tassels using computer vision and support vector machines F Kurtulmuş, I Kavdir Expert Systems with Applications 41 (16), 7390-7397, 2014 | 122 | 2014 |
| Discriminating rapeseed varieties using computer vision and machine learning F Kurtulmuş, H Ünal Expert Systems with Applications 42 (4), 1880-1891, 2015 | 78 | 2015 |
| Classification of pepper seeds using machine vision based on neural network F Kurtulmuş, İ Alibaş, I Kavdır International Journal of Agricultural and Biological Engineering 9 (1), 51-62, 2016 | 77 | 2016 |
| Identification of sunflower seeds with deep convolutional neural networks F Kurtulmuş Journal of Food Measurement and Characterization 15 (2), 1024-1033, 2021 | 38 | 2021 |
| Deep learning for proximal soil sensor development towards smart irrigation E Kurtulmuş, B Arslan, F Kurtulmuş Expert Systems with Applications 198, 116812, 2022 | 20 | 2022 |
| Detection of dead entomopathogenic nematodes in microscope images using computer vision F Kurtulmuş, TC Ulu Biosystems engineering 118, 29-38, 2014 | 19 | 2014 |
| Discriminating drying method of tarhana using computer vision F Kurtulmuş, O Gürbüz, N Değirmencioğlu Journal of Food Process Engineering 37 (4), 362-374, 2014 | 15 | 2014 |
| Developing wind‐concentrator systems for the use of wind turbines in areas with low wind‐speed potentials A Vardar, B Eker, F Kurtulmuş, O Taşkın Energy Technology 3 (12), 1260-1270, 2015 | 10 | 2015 |
| Classification of chestnuts according to moisture levels using impact sound analysis and machine learning F Kurtulmuş, S Öztüfekçi, İ Kavdır Journal of Food Measurement and Characterization 12 (4), 2819-2834, 2018 | 9 | 2018 |
| Classification of olives using FT-NIR spectroscopy, neural networks and statistical classifiers İ Kavdır, M Burak Büyükcan, F Kurtulmuş Journal of Food Measurement and Characterization 12, 2493-2502, 2018 | 7 | 2018 |
| Sürekli ve Kesikli Mikrodalga Yöntemleri Kullanılarak Kurutulan Elmanın Renk Değişim Analizi A Polat, F Kurtulmuş, N İzli Bursa Uludağ Üniversitesi Ziraat Fakültesi Dergisi 34 (1), 149-165, 2020 | 6 | 2020 |
| Yapay Sinir Ağları Kullanarak Kayısının Farklı Kurutma Yöntemleriyle Kurutulmasında Kuruma Hızı Ve Nem İçeriği Parametrelerinin Modellenmesi F Kurtulmuş, A Polat, N İzli ÇOMÜ Ziraat Fakültesi Dergisi 8 (2), 261-269, 2020 | 5 | 2020 |
| An advanced green citrus detection algorithm using color images and neural networks F Kurtulmuş, WS Lee, A Vardar Tarım Makinaları Bilimi Dergisi 7 (2), 145-151, 2011 | 5 | 2011 |
| Use of thermal images for optimizing burner height, operating pressure, and burner angle of a weed flamer. S Arslan, N Tursun, F Kurtulmuş, D Güleç Agronomy Research 14 (1), 2016 | 4 | 2016 |
| Modeling of drying rate and moisture ratio parameters in drying apricot with different drying methods using artificial neural networks. F Kurtulmuş, A Polat, N İzli | 3 | 2020 |
| Prediction of Lethality by Nonlinear Artificial Neural Network Modeling M Guldas, F Kurtulmus, O Gurbuz Journal of Food Process Engineering 40 (3), e12457, 2017 | 2 | 2017 |
| Determination of Pipe Diameters for Pressurized Irrigation Systems Using Linear Programming and Artificial Neural Networks E Kurtulmuş, F Kurtulmuş, H Kuşçu, B Arslan, AO Demir Journal of Agricultural Sciences, 58-58, 2023 | 1 | 2023 |
| Identification of worm-damaged chestnuts using impact acoustics and support vector machine. F Kurtulmuş, S Öztüfekçi, İ Kavdir Agronomy Research 14 (3), 2016 | 1 | 2016 |
