Prediction of Walnut Mass Based on Physical Attributes by Artificial Neural Network (ANN) Prognose des Fruchtgewichts von Walnüssen anhand physikalischer Fruchteigenschaften mittels Künstlicher Neuronaler Netze

Demir B., ESKİ İ., GÜRBÜZ F., KUŞ Z. A., Sesli Y., ERCİŞLİ S.

Erwerbs-Obstbau, cilt.62, sa.1, ss.47-56, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 62 Sayı: 1
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1007/s10341-019-00468-8
  • Dergi Adı: Erwerbs-Obstbau
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Agricultural & Environmental Science Database, CAB Abstracts, Environment Index, Food Science & Technology Abstracts
  • Sayfa Sayıları: ss.47-56
  • Anahtar Kelimeler: Artificial Neural Network (ANN), mass estimation, sizing, JUGLANS-REGIA L, FRUITS, SIZE, L., GENOTYPES, WEIGHT, APPLES, MODELS, SEEDS
  • Erciyes Üniversitesi Adresli: Evet