Nondestructive nitrogen content estimation in tomato plant leaves by Vis-NIR hyperspectral imaging and regression data models

  1. Pourdarbani, R.
  2. Sabzi, S.
  3. Rohban, M.H.
  4. García-Mateos, G.
  5. Arribas, J.I.
Revue:
Applied Optics

ISSN: 2155-3165,  1559-128X

Année de publication: 2021

Volumen: 60

Número: 30

Pages: 9560-9569

Type: Article

DOI: 10.1364/AO.431886 GOOGLE SCHOLAR
La source de données: Scopus