Detection of hazelnut varieties and development of mobile application with CNN data fusion feature reduction-based models-Reference-Cited by-同舟云学术

Detection of hazelnut varieties and development of mobile application with CNN data fusion feature reduction-based models

Published:2023-09-28 Issue:1 Volume:250 Page:97-110
ISSN:1438-2377
Container-title:European Food Research and Technology
language:en
Short-container-title:Eur Food Res Technol

Author:

Gencturk Bunyamin^ORCID,Arsoy Sadiye^ORCID,Taspinar Yavuz Selim^ORCID,Cinar Ilkay^ORCID,Kursun Ramazan^ORCID,Yasin Elham Tahsin^ORCID,Koklu Murat^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Biochemistry,General Chemistry,Food Science,Biotechnology

Link

https://link.springer.com/content/pdf/10.1007/s00217-023-04369-9.pdf

Reference47 articles.

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2. Król K, Gantner M (2020) Morphological traits and chemical composition of hazelnut from different geographical origins: a review. Agriculture 10(9):375

3. Köksal Aİ, Artik N, Şimşek A, Güneş N (2006) Nutrient composition of hazelnut (Corylus avellana L.) varieties cultivated in Turkey. Food Chem 99(3):509–515

4. Yıldırım Ç, Türkten H, Boz İ (2022) Assessing the sustainability index of part-time and full-time hazelnut farms in Giresun and Ordu Province. Turkey Environ Sci Pollut Res 29(52):79225–79240

5. Secer A (2008) An investigation on Turkish hazelnut export concentration. J Appl Sci Res 4(11):1557–1560

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