Data · dataset · 2024
Luffa Aegyptiaca Leaf Disease Classification
Listed in Teesside University Research Data Repository
Greetings Researchers and Plant Pathologists, Delve into the intricate world of "Luffa Aegyptiaca Leaf Disease Classification," an extensive dataset meticulously compiled from the agrarian landscapes of Jalkuri, Narayanganj, and Khagan, Ashuliya, situated within the Dhaka district of Bangladesh.
Description
This dataset stands as a significant contribution to the field, offering an unparalleled examination of Luffa Aegyptiaca plants afflicted with various diseases.
Organized into three distinct subfolders—Cucumber Mosaic Virus, Downey Mildew, and Leaf Spot—this dataset comprises 6533 high-resolution JPEG images, each meticulously captured at a resolution of 854x480 pixels. The Cucumber Mosaic Virus subfolder encompasses 2004 images, providing a detailed visual representation of the viral pathology affecting Luffa aegyptiaca. In the Downey Mildew subfolder, 2024 images elucidate the nuanced manifestations of fungal infection, while the Leaf Spot subfolder, boasting 2505 images, offers a comprehensive exploration of leaf spot diseases.
Read the rest (2 more)
Collected from the regions of Jalkuri and Khagan, this dataset not only provides a visual narrative but also serves as a unique repository, currently unparalleled on the internet. Researchers, agronomists, and scholars in plant pathology will find this dataset to be an invaluable asset for in-depth analysis and understanding of diseases affecting Luffa aegyptiaca crops. Embark on a scholarly exploration, unravel the complexities of plant-pathogen interactions, and augment your research endeavors with the rich visual data encapsulated in "Luffa aegyptiaca 480." This dataset beckons as a cornerstone for agricultural research, offering a nuanced perspective into the challenges faced by Luffa aegyptiaca in the Dhaka district.
Happy Exploring!
Links
Where it is published
- DOI doi.org/10.17632/dkptcnjn42.4 ↗
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
- Computer Science & AI · Deep learning · Earth & Environmental Science · Engineering · Humanities · Image processing · Life Sciences · Machine learning · Social Science
Provenance · 1 source records, 16 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/dkptcnjn42.4 | 11 d 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].anzsrc:field:460306 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Image Processing'] |
| concepts[field].anzsrc:field:461103 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Deep Learning'] |
| concepts[field].anzsrc:group:4611 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | 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:social-science | 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 (65%) |
| 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 |