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README.md

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+---
+tags:
+- Object Detection
+- Image Recognition
+- Crop Monitoring
+- Agricultural Research
+- Precision Agriculture
+license: cc-by-nc-sa-4.0
+task_categories:
+- object-detection
+language:
+- en
+pretty_name: Fennel Crop Growth Monitoring Dataset
+size_categories:
+- 1B<n<10B
+---
+
+# Fennel Crop Growth Monitoring Dataset
+
+Currently, the agricultural sector faces challenges such as the lack of high-precision data and real-time monitoring in crop growth monitoring. Traditional monitoring methods often rely on manual observation, which is inefficient and prone to errors. Existing solutions are limited in terms of data update speed and accuracy, failing to meet the precision and timeliness demands of modern agriculture. The construction of this dataset aims to solve the problems of image recognition and classification in object detection by providing high-quality fennel crop growth monitoring data, meeting the data needs in agricultural production. Data collection uses drone aerial photography techniques with high-resolution cameras, capturing images at different growth stages and under different environmental conditions. To ensure data quality, multiple rounds of annotation and consistency checks were implemented, and the data was reviewed by agricultural experts. The data is stored in JPG format, organized by time and growth stage, to facilitate subsequent analysis and model training.
+
+## Technical Specifications
+
+| Field | Type | Description |
+| :---  | :---  | :--- |
+| file_name | string | File name |
+| quality | string | Resolution |
+| fenugreek_plant_stage | string | Indicates the growth stage of the fenugreek plant, such as seedling stage, flowering stage, etc. |
+| leaf_health_status | string | Describes the health condition of the leaf, such as healthy, diseased, pest damage, etc. |
+| plant_height | float | Measures the vertical height of the plant from the base to the top (in centimeters). |
+| plant_density | integer | The number of plants per unit area visible in the image. |
+| flower_count | integer | The total number of flowers visible in the image. |
+| soil_condition | string | Describes the condition of the soil surface, such as dry, moist, muddy, etc. |
+| weather_conditions | string | The weather conditions at the time of image capture, such as sunny, overcast, rainy, etc. |
+| light_intensity | float | The light intensity at the time of capturing, usually measured in lumens (lux). |
+
+## Compliance Statement
+
+<table>
+  <tr>
+    <td>Authorization Type</td>
+    <td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td>
+  </tr>
+  <tr>
+    <td>Commercial Use</td>
+    <td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td>
+  </tr>
+  <tr>
+    <td>Privacy and Anonymization</td>
+    <td>No PII, no real company names, simulated scenarios follow industry standards</td>
+  </tr>
+  <tr>
+    <td>Compliance System</td>
+    <td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td>
+  </tr>
+</table>
+
+## Source & Contact
+
+If you need more dataset details, please visit [Mobiusi](https://www.mobiusi.com/datasets/95394537065b082a7c02306c5da2a294?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com