NIR-hyperspectral imaging and machine learning for non-invasive chemotype classification in Cannabis sativa L

  1. San Nicolas, M.
  2. Villate, A.
  3. Alvarez-Mora, I.
  4. Olivares, M.
  5. Aizpurua-Olaizola, O.
  6. Usobiaga, A.
  7. Amigo, J.M.
Aldizkaria:
Computers and Electronics in Agriculture

ISSN: 0168-1699

Argitalpen urtea: 2024

Alea: 217

Mota: Artikulua

DOI: 10.1016/J.COMPAG.2023.108551 GOOGLE SCHOLAR lock_openSarbide irekia editor

Garapen Iraunkorreko Helburuak

Datuen iturria: Scopus