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tags:
  - Object Detection
  - Image Classification
  - Plant Health Monitoring
  - Agricultural Management
  - Intelligent Agriculture
license: cc-by-nc-sa-4.0
task_categories:
  - object-detection
language:
  - en
pretty_name: Floral Health Status Monitoring Dataset
size_categories:
  - 1B<n<10B

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