Artificial intelligence models for validating and predicting the impact of chemical priming of hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) and light emitting diodes on in vitro grown industrial hemp (<i>Cannabis sativa</i> L.)

Aasim M., Yildirim B., Say A., Ali S., Aytac S., Nadeem M.

PLANT MOLECULAR BIOLOGY, cilt.114, sa.2, ss.1-24, 2024 (SCI-Expanded, Scopus) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 114 Sayı: 2
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1007/s11103-024-01427-y
  • Dergi Adı: PLANT MOLECULAR BIOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Chemical Abstracts Core, Food Science & Technology Abstracts, Veterinary Science Database
  • Sayfa Sayıları: ss.1-24
  • Anahtar Kelimeler: Artificial intelligence, Light-emitting Diodes, Machine learning, Optimization, Chemical priming
  • Erciyes Üniversitesi Adresli: Evet