Coffee Leaf Rust Dataset

Citation Author(s):
David
Velasquez
Universidad EAFIT
Alejandro
Sánchez
Universidad EAFIT
Sebastián
Sarmiento
Universidad EAFIT
Camilo
Velásquez
Universidad EAFIT
Mauricio
Toro
Universidad EAFIT
Edwin
Montoya
Universidad EAFIT
Mikel
Maiza
Vicomtech
Basilio
Sierra
University of the Basque Country
Helmuth
Trefftz
Universidad EAFIT
Submitted by:
David Velasquez
Last updated:
Fri, 07/17/2020 - 06:09
DOI:
10.21227/pz2n-y676
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Abstract 

Three month Coffee Leaf Rust dataset generated by the Cyber Physical Data Collection System.

Instructions: 

The data folder contains five folders (01234) previously labeled by the Universidad EAFIT Biology Team, indicating the severity of the Coffee Leaf Rust development stage. The CLR development stage corresponds to the following figure:

De Melo Virginio Filho, E.; Astorga, C. Prevención y Control de la Roya del Café: Manual de Buenas Prácticas para Técnicos y Facilitadores, 1st ed.; CATIE: Turrialba, Costa Rica, 2015; p. 67.

Inside each tagged folder, there are multiple folders with the name lot_# corresponding to a # sample of a lot. This lot folder contains inside the following folders and files:

  • rgb_images: folder containing the RGB images of the corresponding plants. This folder includes another five sub-folders (01234) with the CLR development stage label for each plant used to train a separate RGB model.
  • lot_#.json: file containing all the sensor information from the # lot.
  • re.jpg: Multispectral Camera with Red Edge filter picture of the corresponding lot.
  • rgn.jpg: Multispectral Camera with Red+Green+NIR picture of the corresponding lot.