shangzx/Soil-Texture-and-Particle-Segmentation-Dataset

Soil Texture and Particle Segmentation Dataset

The current agricultural sector faces challenges in inadequate soil quality monitoring. Traditional soil analysis methods are often time-consuming and costly, making it difficult to meet the needs of precision agriculture. Existing solutions often lack sufficient precision and real-time capabilities, unable to effectively support agricultural decision-making. This dataset aims to provide high-quality semantic segmentation data on soil texture and particles to support automated image analysis technologies, enhancing the efficiency and accuracy of soil monitoring. Data collection is conducted using high-resolution cameras in different soil environments to ensure coverage of various soil types. In terms of quality control, we implemented multiple rounds of annotation and consistency checks, with annotation results reviewed by domain experts. Data is stored in JPG and JSON formats, organized in such a way that each image corresponds to one record, containing image data and its label information.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
soil_type	string	The specific type of soil in the image, such as sand, loam, clay, etc.
particle_size_range	string	The size range of the particles in the image (e.g., fine, small, medium, large).
moisture_level	string	The moisture level of the soil in the image (e.g., dry, moist, wet).
color_variation	string	The color variation of the soil and particles.
particle_shape	string	The shape characteristics of the particles in the image (e.g., round, irregular, flaky).

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