Search Results - "Sönmez,Mesut Ersin"

Molecular screening of the landraces from Turkey and modern bread wheat (Triticum aestivum L.) cultivars for HMW-GS, wbm, waxy genes and Lr34 gene by Sönmez, Mesut Ersin, Güleç, Tuğba, Demir, Bedrettin, Bayraç, Ceren, Çakmak, Mustafa, Aydın, Nevzat

“…Landraces are significant genetic resources for wheat breeding as they can adapt to their regions of origin. However, for this genetic resource to be used…”
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Wheat flour milling yield estimation based on wheat kernel physical properties using Artificial Neural Networks by Sabancı,Kadir, Aydın,Nevzat, Sayaslan,Abdulvahit, Sönmez,Mesut Ersin, Aslan,Mehmet Fatih, Demir,Lütfü, Sermet,Cemal

“…Wheat is a basic food raw material for the majority of people around the world as wheat-based products provide an important part of the daily energy intake in…”
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Accelerated breeding strategies for biochemical marker-assisted backcross breeding and mapping population development in bread wheat (Triticum aestivum L.) by Aydin, Nevzat, Demir, Bedrettin, Akdag, Halil, Gokmen, Sabri, Sayaslan, Abdulvahit, Bayraç, Ceren, Sönmez, Mesut Ersin, Türkoğlu, Aras

“…In order to rapidly adapt to the evolving climate and sustainably nourish the growing global population, plant breeders are actively investigating more…”
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Convolutional neural network-support vector machine-based approach for identification of wheat hybrids by Sonmez, Mesut Ersin, Sabanci, Kadir, Aydin, Nevzat

“…Selecting wheat hybrids is vital for enhancing crop yield, adapting to changing climates, and ensuring food security. These hybrids align with market demands…”
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Effects of the 1RS.1BL wheat-rye translocationon kernel and bran content of bread wheat (Triticum aestivum L.) by AYDIN, Nevzat, DEMİR, Bedrettin, SAYASLAN, Abdulvahit, ERBAŞ KÖSE, Özge Doğanay, GÜLEÇ, Tuğba, ŞERMET, Cemal, SAVAŞLI, Erdinç, SÖNMEZ, Mesut Ersin, KOYUNCU, Mehmet, MUT, Zeki

“…In this study, the effects of rye translocation on some quality properties and mineral content of whole wheat kernel and bran were investigated.The plant…”
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CNN–SVM hybrid model for varietal classification of wheat based on bulk samples by Unlersen, Muhammed Fahri, Sonmez, Mesut Ersin, Aslan, Muhammet Fatih, Demir, Bedrettin, Aydin, Nevzat, Sabanci, Kadir, Ropelewska, Ewa

“…Determining the variety of wheat is important to know the physical and chemical properties which may be useful in grain processing. It also affects the price…”
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Deep learning-based classification of microalgae using light and scanning electron microscopy images by Sonmez, Mesut Ersin, Altinsoy, Betul, Ozturk, Betul Yilmaz, Gumus, Numan Emre, Eczacioglu, Numan

“…Microalgae possess diverse applications, such as food production, animal feed, cosmetics, plastics manufacturing, and renewable energy sources. However,…”
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Enhancing microalgae classification accuracy in marine ecosystems through convolutional neural networks and support vector machines by Sonmez, Mesut Ersin, Gumus, Numan Emre, Eczacioglu, Numan, Develi, Elif Eker, Yücel, Kamile, Yildiz, Hüseyin Bekir

“…Accurately classifying microalgae species is vital for monitoring marine ecosystems and managing the emergence of marine mucilage, which is crucial for…”
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Convolutional neural network - Support vector machine based approach for classification of cyanobacteria and chlorophyta microalgae groups by Sonmez, Mesut Ersin, Eczacıoglu, Numan, Gumuş, Numan Emre, Aslan, Muhammet Fatih, Sabanci, Kadir, Aşikkutlu, Baran

“…Microalgae are single-celled organisms that have been extensively utilized in biotechnology, pharmacology and foodstuff in recent years. The description and…”
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