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.
Zeitschrift:
Computers and Electronics in Agriculture

ISSN: 0168-1699

Datum der Publikation: 2024

Ausgabe: 217

Art: Artikel

DOI: 10.1016/J.COMPAG.2023.108551 GOOGLE SCHOLAR lock_openOpen Access editor
Datenquelle: Scopus