CoLeaf DATASET
Published: 30 May 2023| Version 2 | DOI: 10.17632/brfgw46wzb.2
Contributors:
Víctor A Tuesta-Monteza, , Juan Arcila-DiazDescription
The dataset contains 1006 leaf images grouped according to their nutritional deficiencies (Boron, Iron, Potasium, Calcium, Magnesium, Manganese, Nitrogen and others). CoLeaf dataset contain images that facilitate training and validation during the utilization of deep learning algorithms for coffee plant leaf nutritional deficiencies recognition and classification. Please cite: Victor A. Tuesta-Monteza, Heber I. Mejia-Cabrera, Juan Arcila-Diaz, CoLeaf-DB: Peruvian coffee leaf images dataset for coffee leaf nutritional deficiencies detection and classification, Data in Brief, Volume 48, 2023, 109226, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2023.109226.
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Institutions
Universidad Senor de Sipan
Categories
Image Acquisition