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quality
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person_count
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activity_type
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equipment_presence
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tool_type
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ce68d580d39c3a7993cf8f25dfd5d66c.jpg
7603*5071
1
Observation and Recording
Present
Tablet or Laptop
Indoor Environment
Indoor Laboratory
Unspecified
Execution Phase

Agricultural Experiment Personnel Operation Behavior Dataset

The current agricultural industry is facing issues of low production efficiency and resource waste, especially in crop monitoring and management. Existing monitoring methods often rely on manual inspection, which is inefficient and prone to error. This dataset aims to solve problems in automated monitoring by providing high-quality operational behavior data of agricultural experiment personnel for object detection and behavior recognition. Data collection was carried out using high-resolution cameras under various lighting and environmental conditions to ensure coverage of different agricultural operation scenarios. In terms of quality control, we implemented multiple rounds of annotation and consistency checking, with final review by agricultural experts to ensure data accuracy. The data is stored in JPG format and organized such that each image corresponds to related annotation files. As for the core advantages of the dataset, we ensured high annotation accuracy (95%), with consistency improvement of 20% compared to traditional methods. Additionally, we introduced new data augmentation techniques to enhance model generalization capability, with expected performance metric improvements of up to 30%.

Technical Specifications

Field Type Description
file_name string File name
quality string Resolution
person_count int The number of agricultural experiment personnel appearing in the image.
activity_type string The type of activity being performed by agricultural experiment personnel in the image, such as planting, fertilizing, harvesting, etc.
equipment_presence boolean Indicates whether agricultural equipment is present in the image.
tool_type string The type of tools used by agricultural experiment personnel in the image.
weather_condition string The weather conditions depicted in the image, such as sunny, cloudy, rainy, etc.
experiment_location string The location of the agricultural experiment activity depicted in the image.
plant_type string The type of plants involved in the image.
experiment_phase string The current stage of the agricultural experiment, such as preparation phase, execution phase, results recording phase, etc.

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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