Data · dataset · 2021
Banana Leaf Disease Images
Listed in Teesside University Research Data Repository
Huge data is one of the required resources in deep learning research to train, validate and test CNN model and get better accuracy, prediction and detection.
Description
In our study we have prepared a banana plant leaf image dataset that is used for the ‘banana disease detection’ research. It is collected from Southern Nations, Nationalities, and Peoples' Regional State Arbaminch Zuria Woreda Lante kebele and Chano kebele and Gamugofa Zone Mierab Abaya Woreda Omolante kebele where banana is widely producing area and the infection of Xanthomonas wilt and Segatoka leaf spot disease is highly observed.
The data is collected from four farmers a size of one hectare farm each in three kebeles. During the data collection, the daily collected data were identified “health” or “infected” by both type of diseases. The labeled data by the first plant pathologist is verified and confirmed by the second one to make sure the quality of the collected data.
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Finally, the collected image was correctly labeled with three classes. Collecting images of banana plant leaf in thousands is too difficult. The researcher collects 1,288 pictures of banana leaf under three categories as “Health” banana leaf, “Xanthomonas” infected leafs and “Sigatoka” infected leafs.
Links
Where it is published
- DOI doi.org/10.17632/rjykr62kdh.1 ↗
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
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/rjykr62kdh.1 | 20 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[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 |