Mass Modelling of Eggs Based on Shape Index Using Regression Analysis
Yazarlar (3)
Manoj Mahawar Kumar
Prof. Dr. Ebubekir ALTUNTAŞ Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Esra Nur Gül
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (ESCI dergilerinde yayınlanan tam makale)
Dergi Adı KSU TARIM VE DOGA DERGISI-KSU JOURNAL OF AGRICULTURE AND NATURE
Dergi ISSN 2619-9149 Dergi Bilgileri (2023)
Dergi Tarandığı Indeksler TR DİZİN
Makale Dili İngilizce Basım Tarihi 01-2023
Cilt / Sayı / Sayfa 26 / 1 / 132–139 DOI 10.18016/ksutarimdoga.vi.992588
Makale Linki http://dx.doi.org/10.18016/ksutarimdoga.vi.992588
UAK Araştırma Alanları
Tarımsal Makine Sistemleri
Özet
This study was conducted to determine the correlation between the mass of eggs based on its geometrical dimensions characteristics such as length (L), width (W), geometric mean diameter (GMD), the first and second projection areas (PA1, PA2), criteria area (CAE), oblate spheroid volume (Vosp), measured volume (Vm) and shape index (SI). Based upon the SI, eggs were characterized as sharp (< 72), normal (72-76) and round (> 76), respectively. For mass prediction, different classifications viz. dimension as 1st classification, projection area as 2nd classification, and volume as 3rd classification were considered. 1st classification (dimension), 2nd classification (projection area), and 3rd classification (volume) were considered. The analysis was executed using 33 linear regression models and the models were recommended by considering maximum coefficient of determination (R2) and minimum regression standard error (RSE). Based on the modelling analysis, 10 model equations based on the selected classifications were recommended for mass estimation. The findings of this investigation will be helpful for the researchers involved in the design and development of process equipments in the production and processing of eggs.
Anahtar Kelimeler
Egg | Shape index | Mass models | Physical Characteristics
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 2
Google Scholar 1
TR Dizin 3
Mass Modelling of Eggs Based on Shape Index Using Regression Analysis