MOBIUSI INC| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| leaf_color | string | Describe the color of the leaf, including green, yellow, brown, etc. |
| spot_count | int | The number of visible spots on the leaf surface. |
| spot_size | string | The size of spots on the leaf, such as small, medium, large. |
| spot_color | string | Describe the color of the spots, including black, brown, yellow, etc. |
| leaf_shape | string | Describe the shape of the leaf, such as long oval, ovate, etc. |
| disease_severity | string | The severity of the disease, such as mild, moderate, severe. |
| leaf_texture | string | Describe the texture of the leaf, such as smooth, rough. |
| infection_area | string | The area ratio of infection on the leaf surface, typically as a percentage. |
| leaf_venation | string | The venation structure of the leaf, such as reticulate, parallel. |
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |

Post a request and let data providers reach out to you.
@dataset{Mobiusi2026,
title={Durian Plantation Disease Identification Leaf Spot Disease Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/fd9f7d9b98e669ddd32fb9d8bd6429c0},
urldate={2026-02-04},
keywords={Durian Leaf Spot Detection, Plant Disease Identification Dataset, Smart Agriculture Image Data},
version={1.0}
}Using this in research? Please cite us.