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README.md

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+---
+tags:
+- classification
+- recognition
+- detection
+- agricultural monitoring
+- crop management
+- precision agriculture
+license: cc-by-nc-sa-4.0
+task_categories:
+- image-classification
+language:
+- en
+pretty_name: Fruit Tree Growth Stage Classification Dataset
+size_categories:
+- 1B<n<10B
+---
+
+# Fruit Tree Growth Stage Classification Dataset
+
+The current agricultural industry faces the challenge of accurately monitoring the growth stages of fruit trees. Traditional methods of manual observation are inefficient and prone to errors. Existing solutions often lack specificity and fail to provide real-time feedback on the growth of fruit trees. This dataset aims to use image classification technology to address the technical challenges of identifying fruit tree growth stages, assisting farmers and agricultural managers in optimizing management decisions. The dataset is constructed mainly through a combination of drone photography and ground collection methods, ensuring coverage of various growth environments. For quality control, multiple rounds of annotation and expert review are used to ensure data accuracy and consistency. The data is stored in JPEG format and organized by image ID for easy retrieval and use.
+
+## Technical Specifications
+
+| Field | Type | Description |
+| :---  | :---  | :--- |
+| file_name | string | File name |
+| quality | string | Resolution |
+| fruit_tree_species | string | Indicates the species of the fruit tree in the image. |
+| growth_stage | string | Describes the growth stage of the fruit tree depicted in the image, such as budding, flowering, or fruiting. |
+| leaf_color | string | Records the color of the leaves in the fruit tree image to assess health status. |
+| fruit_presence | boolean | This field indicates whether fruits are present in the image. |
+| canopy_density | string | Measures the density of the fruit tree canopy, categorized as sparse, medium, or dense. |
+| disease_signs | string | Detects and records any signs of disease in the fruit tree image, such as leaf spots or wilting. |
+
+## 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/7be76a39b88439544e3b56a9ab840508?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com