Data · dataset · 2026
PlantCity: A Comprehensive Image Based on Multi Crop Leaves disease in Pakistan.
Listed in Teesside University Research Data Repository
Description
Paper link: sciencedirect.com/science/article/pii/S2352340925008510
Citation
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Khan, M. S., Nisa, K., Ahmad, I., Zubair, M., & Alshammari, K. (2025). PlantCity: A Comprehensive Image Based on Multi Crop Leaves in Pakistan. Data in Brief, 112130. doi.org/10.1016/j.dib.2025.112130 In this work, we present a dataset of 12 crop species Apple, Apricot, Bean, Cherry, Maize, Fig, Grapes, Loquat, Pear, Tomato, Walnut and Persimmons with 52 classes 41 diseases and 11 healthy class.
That Dataset include 10667 images and after Augmentation the size of 52219 images, and to avoid overfitting deep learning models, augmentation approaches have been employed to improve the dataset's size and quality. All the dataset have collected in Pakistan from two different districts Chitral and charsadda in real environment. The acquired datasets can be utilized to create several deep learning models for the multiclass crop leaves classification.
Links
Where it is published
- DOI doi.org/10.17632/w8kh2xkspx.4 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Life Sciences · Medicine & Health
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/w8kh2xkspx.4 | 8 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |