Datasets:
file_name stringclasses 4 values | quality stringclasses 4 values | flower_type stringclasses 4 values | disease_presence stringclasses 1 value | disease_type stringclasses 1 value | health_status stringclasses 1 value | pest_presence stringclasses 2 values | pest_type stringclasses 2 values | flower_color stringclasses 4 values | blossom_stage stringclasses 3 values | leaf_condition stringclasses 2 values |
|---|---|---|---|---|---|---|---|---|---|---|
0932f5d8677c43a2a3ee0ed971dca990.jpg | 3293*4939 | Zinnia | No | None | Healthy | No | None | Red, Orange, Yellow | Full Bloom | Good |
28a1e61beb5ec5c04b54d204708bd927.jpg | 3024*4032 | rapeseed flower | No | None | Healthy | No | None | yellow | full bloom | Healthy |
3f845b9b50651b3adfbcb76d1bc85785.jpg | 4640*6960 | Blanket Flower | No | None | Healthy | Yes | Bee | Red and Orange | Full Bloom | Good |
7ececc0cfee6944ca9519ad2bc802b3a.jpg | 4184*6276 | Rose | No | None | Healthy | No | None | Pink | Full bloom | Good |
Floral Health Status Monitoring Dataset
In today's agricultural industry, as the area of flower cultivation expands, timely monitoring and evaluation of the floral health status becomes a challenge. Existing monitoring means primarily rely on manual observation, which is inefficient and prone to misjudgment. This dataset aims to provide an efficient and accurate solution for agricultural management by automatically identifying and evaluating floral health status through object detection technology. The dataset is collected using professional equipment under various environments and contains images of different types of flowers. We employ multi-round annotation and expert review quality control measures to ensure data accuracy and consistency. The data is stored in JPG format and organized by date and location, facilitating subsequent analysis and application.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| flower_type | string | Identify the specific type of flower in the image. |
| disease_presence | boolean | Indicates whether there are any signs of disease in the flower in the image. |
| disease_type | string | Identify the type of disease present in the flower, if any. |
| health_status | string | Evaluate the health status of the flower, such as healthy, infected, or wilting. |
| pest_presence | boolean | Indicates whether the flower in the image is affected by pests. |
| pest_type | string | Identify the type of pest present in the flower, if any. |
| flower_color | string | Identify the primary color of the flower in the image. |
| blossom_stage | string | Describe the blooming stage of the flower, such as bud, half-bloom, full-bloom, etc. |
| leaf_condition | string | Assess the condition of leaves associated with the flower. |
Compliance Statement
| 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 |
Source & Contact
If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com
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