Mass modeling of potato cultivars with different shape index by physical characteristics
Yazarlar (2)
Prof. Dr. Ebubekir ALTUNTAŞ Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Manoj Kumar Mahawar
Icar - Central Institute For Research On Cotton Technology, Mumbai, Hindistan
Icar - Central Institute For Research On Cotton Technology, Mumbai, Hindistan
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Journal of Food Process Engineering (Q3) | ||
| Dergi ISSN | 0145-8876 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 10-2022 |
| Cilt / Sayı / Sayfa | 45 / 10 / 1–13 | DOI | 10.1111/jfpe.14126 |
| Makale Linki | http://dx.doi.org/10.1111/jfpe.14126 | ||
| Özet |
| The correlation between physical parameters like linear dimensions, projected areas, volumes, and mass of potato cultivars is imperative for predicting the quality besides the development of post‐harvest machineries especially grading systems. Therefore, this investigation was envisaged to determine the correlation between the mass and properties like dimensions viz. length (l), width (w), thickness (t), geometric mean diameter (Gmd), first projected area (FPA), second projected area (SPA), third projected area (TPA), criteria area (Cae), oblate spheroid volume (Vobsp), ellipsoid spheroid volume (Vellsp), and shape index (SI) of potato cultivars cv. Milva, Jelly, and Sante. Based on the SI, potato tubers were classified as round (100–160), oval (161–240), and long (241–340), respectively. The predictive modeling was done using 171 linear regression models and the models having the highest coefficient of … |
| Anahtar Kelimeler |
| grading | linear regression models | post-harvest machinery | predictive modeling |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| WoS | 9 |
| SCOPUS | 8 |
| Google Scholar | 14 |