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README.md

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+---
+tags:
+- Object detection
+- object recognition
+- Farmland management
+- agricultural automation
+- sprayer monitoring
+license: cc-by-nc-sa-4.0
+task_categories:
+- object-detection
+language:
+- en
+pretty_name: Backpack Sprayer Usage Detection Dataset
+size_categories:
+- 1B<n<10B
+---
+
+# Backpack Sprayer Usage Detection Dataset
+
+The current agricultural industry faces issues such as low efficiency in sprayer use and poor spray uniformity, which impact crop growth and yield. Existing monitoring solutions largely rely on manual inspections, which are inefficient and prone to errors. Therefore, establishing a dedicated sprayer usage detection dataset can improve the monitoring efficiency of sprayers using machine learning technologies. This dataset contains image data of various sprayers in different environments, aiming to automatically identify sprayer usage through object detection technology. Data collection is carried out using drones in farmland environments to ensure a diverse range of crops and sprayer types are covered. In terms of quality control, data undergo multiple rounds of annotation and expert review to ensure consistency and accuracy of the annotations. Data is stored in JPG format, organized as image files along with their corresponding annotation information for ease of future use.
+
+## Technical Specifications
+
+| Field | Type | Description |
+| :---  | :---  | :--- |
+| file_name | string | File name |
+| quality | string | Resolution |
+| device_type | string | The type of detected backpack sprayer device. |
+| person_count | integer | The number of people operating the sprayer in the image. |
+| spraying_activity | boolean | Whether there is a spraying activity occurring in the image. |
+| environment_type | string | The type of environment where the sprayer is located, such as farmland or orchard. |
+| protective_gear | boolean | Whether the operator is wearing protective gear. |
+| daylight_condition | string | The lighting condition at the time of capture, such as daytime or nighttime. |
+| vegetation_type | string | The type of vegetation being sprayed, such as wheat or rice. |
+
+## 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/a329e86dbe9ee218dc8c4e4a92e47f4c?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com