Pomegranate disease detection and classification dataset for deep learning applications: A case study from Halabja city.

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Bibliographic Details
Title: Pomegranate disease detection and classification dataset for deep learning applications: A case study from Halabja city.
Authors: Mohammed BA; Department of Computer Science, College of Science, University of Halabja, Halabja, Kurdistan Region, Iraq., Abdalla PA; Department of Computer Science, College of Science, University of Halabja, Halabja, Kurdistan Region, Iraq., Aziz SM; Department of Computer Science, Darbandikhan Technical Institute, Sulaimani Polytechnic University, Darbandikhan, Kurdistan Region, Iraq., Hassan HO; Department of Computer Science, College of Science and Technology, University of Human Development, Sulaymaniyah, Kurdistan Region, Iraq.
Source: Data in brief [Data Brief] 2025 Nov 20; Vol. 63, pp. 112298. Date of Electronic Publication: 2025 Nov 20 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101654995 Publication Model: eCollection Cited Medium: Internet ISSN: 2352-3409 (Electronic) Linking ISSN: 23523409 NLM ISO Abbreviation: Data Brief Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2352-3409
DOI:10.1016/j.dib.2025.112298