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, vol.62, no.1, pp.47-56, 2020 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 62 Issue: 1
  • Publication Date: 2020
  • Doi Number: 10.1007/s10341-019-00468-8
  • Journal Name: Erwerbs-Obstbau
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Agricultural & Environmental Science Database, CAB Abstracts, Environment Index, Food Science & Technology Abstracts
  • Page Numbers: pp.47-56
  • Keywords: Artificial Neural Network (ANN), mass estimation, sizing, JUGLANS-REGIA L, FRUITS, SIZE, L., GENOTYPES, WEIGHT, APPLES, MODELS, SEEDS
  • Erciyes University Affiliated: Yes