Importance of Meteorological Parameters and Airborne Conidia to Predict Risk of Alternaria on a Potato Crop Ambient Using Machine Learning Algorithms

  1. Meno, L.
  2. Escuredo, O.
  3. Abuley, I.K.
  4. Seijo, M.C.
Revue:
Sensors

ISSN: 1424-8220

Année de publication: 2022

Volumen: 22

Número: 18

Type: Article

DOI: 10.3390/S22187063 GOOGLE SCHOLAR lock_openAccès ouvert editor
La source de données: Scopus