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file_name
stringclasses
1 value
quality
stringclasses
1 value
device_type
stringclasses
1 value
person_count
stringclasses
1 value
spraying_activity
stringclasses
1 value
environment_type
stringclasses
1 value
protective_gear
stringclasses
1 value
daylight_condition
stringclasses
1 value
vegetation_type
stringclasses
1 value
0bde3853c90fffc8a4997634b4161a41.jpg
5716*3215
Manual backpack sprayer
1
Yes
Farmland
No apparent protective gear worn
Daytime
Rice field

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

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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