Morphometric analysis of Crayfish - traditional and artificial intelligent approach

BENZER S., Benzer R.

THALASSAS, cilt.38, sa.2, ss.989-996, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 38 Sayı: 2
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1007/s41208-022-00447-z
  • Dergi Adı: THALASSAS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, DIALNET
  • Sayfa Sayıları: ss.989-996
  • Anahtar Kelimeler: Crayfish, Morphometric analysis, Artificial neural networks, Iznik Lake, ASTACUS-LEPTODACTYLUS ESCHSCHOLTZ, NARROW-CLAWED CRAYFISH, NEURAL-NETWORKS, GROWTH
  • Gazi Üniversitesi Adresli: Evet

Özet

Crayfish are crustaceans of cultural importance in most countries, traditionally consumed on important occasions for centuries, and of high economic value in the market. This study was carried out to analyze some morphological characteristics, the total length of total weight, the carapace length total length, the chela length total length, the abdomen length total length relationships, properties, and ratios of freshwater crayfish (Astacus leptodactylus Eschscholtz 1823) in Iznik Lake. Length-weight and length-length relationships with traditional methods and artificial neural networks, which are the most important subfields of artificial intelligence, have been evaluated. The total length-weight relationships for males, females and all individuals were found to be: W = 0.08197221 L (2.61) (R-2 = 0.941), W = 0.08252047 L (2.53) (R-2 = 0.948) and W = 0.06874014 L (2.65) (R-2 = 0.927), respectively. As a result, the morphometric relationships in Astacus leptodactylus examined in this study will provide information for future studies and monitoring management plans with traditional and artificial intelligence approaches.