Mobiusi/Agricultural-Water-Resource-Utilization-Monitoring-Dataset

Agricultural Water Resource Utilization Monitoring Dataset

The current agricultural sector faces many challenges in water resource management, such as water scarcity and severe wastage, with traditional monitoring methods being inefficient and unable to meet the demands of agricultural production. Existing solutions often rely on manual monitoring and lack real-time, accurate data support, leading to insufficient decision-making basis. This dataset aims to support intelligent monitoring and analysis of agricultural water resources through high-quality image data, helping to improve water resource utilization efficiency. Data collection is conducted using high-resolution cameras in different agricultural environments to ensure coverage of diverse geographic locations and planting modes. Multiple rounds of annotation and consistency checks have been implemented to ensure data accuracy and reliability. All data is stored in JPG format for easy subsequent processing and analysis.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
crop_type	string	The type of the main crop in the image.
irrigation_method	string	The method of irrigation shown in the image.
water_body_presence	boolean	Indicates whether there is a water body present in the image.
vegetation_density	float	The density of vegetation cover in the image.
soil_moisture_level	float	The level of soil moisture depicted in the image.
field_boundary_visibility	boolean	Indicates whether the field boundaries are clearly visible in the image.
crop_health_status	string	The health status of the crops in the image.
pest_presence	boolean	Indicates whether pests are present in the image.
growth_stage	string	The growth stage of the crops depicted in the image.
sunlight_exposure	float	The level of sunlight exposure on the crops as seen in the image.
weather_condition	string	The weather condition at the time the image was taken.
shadow_presence	boolean	Indicates whether there are visible shadows in the image.

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