| Makale Türü |
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| 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
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| 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 |
| Atıf Sayıları | |
| Web of Science | 2 |
| Google Scholar | 1 |
| TR Dizin | 3 |
| Dergi Adı | KSU Tarim ve Doga Dergisi-KSU Journal of Agriculture and Nature |
| Kısa Adı | KSU TARIM DOGA DERG |
| Yayıncı | KAHRAMANMARAS SUTCU IMAM UNIV REKTORLUGU |
| Açık Erişim | Hayır |
| E-ISSN | 2619-9149 |
| Wos Quartile | Q4 |
| Tarandığı Indeksler | ESCI |
| WoS Kategoriler | AGRICULTURE, MULTIDISCIPLINARY |
| Scopus Kategoriler |