Multispectral grape images dataset

  1. Navarro Lorente, Pedro Javier
  2. Egea-Cortines, Marcos
  3. miller, leanne
  4. Díaz-Galián, María Victoria
  5. Gila-Navarro, Alberto
  6. Aguila, Diego J.

Verleger: figshare

Datum der Publikation: 2021

Art: Dataset

CC BY 4.0

DOI: 10.6084/M9.FIGSHARE.14679480 lock_openOpen Access editor

Zusammenfassung

1283 multispectral images with 37 reflectance bands in numpy array format (.npy) of 5 different grape varieties originating from the province of Murcia, Spain. Ready to be used in any supervised learning pipeline to fit classification or regression models.<br>Ground truth is provided together with the images in a tab separated text file with the information of each grape type, weight, Brix index and anthocyanines content