Foggy Day Field Environment Monitoring Dataset

#target detection #object recognition #agricultural monitoring #environmental assessment #crop growth analysis

5000 records
1.5G
JPG/PNG/JSON
CC-BY-NC-SA 4.0
MOBIUSI INC

Updated:2026-03-11

AI Analysis & Value Prop

In the agricultural field, foggy days significantly impact crop growth and environment monitoring, especially under low visibility conditions where traditional monitoring methods are difficult to execute effectively. Existing solutions often rely on data collection under clear weather conditions, resulting in a severe shortage of monitoring data for foggy conditions. This dataset aims to provide high-quality foggy day field environment monitoring data to support target detection tasks and meet agricultural monitoring needs. Data collection is conducted with high-resolution cameras in various foggy environments, ensuring coverage of different crop types and growth stages. To ensure data quality, we implemented multiple rounds of annotation and consistency checks, with the annotation results reviewed by experts. Data is stored in JPG format, organized by category and collection time.

Dataset Insights

Sample Examples

fb10766e**.jpg|5184*3456|1.53 MB

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
weather_condition	string	The weather condition at the time the image was captured.
visibility_distance	float	The visibility distance in meters at the time the image was taken.
fog_density	float	The level of fog density at the time of capture.
object_count	int	The total number of target objects detected in the image.
object_type	string	The type of objects detected in the image, such as trees, plants, vehicles, etc.
camera_angle	string	The camera angle at which the image was taken, such as horizontal, top-down, or bottom-up.
lighting_condition	string	The lighting conditions at the time of capturing the image, such as bright or dim.
field_location	string	The specific location of the field where the image was taken.

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

Frequently Asked Questions

What type of dataset is the Foggy Field Environment Monitoring Dataset?: The Foggy Field Environment Monitoring Dataset is an object detection dataset focused on monitoring tasks in the agricultural field.

In which agricultural scenarios can this dataset be applied?: This dataset can be applied in agricultural environment monitoring under foggy conditions, such as crop health detection and field pest monitoring.

What is the main content of the Foggy Field Environment Monitoring Dataset?: The dataset provides high-quality image data focused on object detection in agricultural environments under foggy conditions.

How was this dataset generated?: The dataset was generated by collecting images of agricultural environments under various foggy conditions, ensuring a range of detectable objects.

Why is foggy environment monitoring data needed in agriculture?: Foggy environment monitoring data helps improve detection accuracy under adverse weather conditions, supporting crop management and protection.

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Cite this Work

@dataset{Mobiusi2025,
  title={Foggy Day Field Environment Monitoring Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/7ceedbf531585c2c30e52698ab1b467d},
  urldate={2025-10-23},
  keywords={foggy monitoring, agricultural dataset, target detection, environment monitoring},
  version={1.0}
}

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