Soil Classification Model

Innovative soil research through advanced hierarchical classification and micromorphological analysis tools implementation.

Soil Research Solutions

Innovative classification models for advanced paleosol research and soil science applications.

Hierarchical Classification Model
A close-up of soil with a small plant stem protruding from the ground. The soil appears dry and slightly compacted, with scattered debris and organic matter. Sunlight creates a patch of brightness on the surface, highlighting the texture of the soil and the plant stem.
A close-up of soil with a small plant stem protruding from the ground. The soil appears dry and slightly compacted, with scattered debris and organic matter. Sunlight creates a patch of brightness on the surface, highlighting the texture of the soil and the plant stem.

Constructing models for soil classification and feature extraction.

Cracked and dry soil surface with minor patches of green grass and small plants. The cracks are deep, indicating severe dryness. The soil appears dark and coarse, with some grass blades and thin plant roots scattered across the image.
Cracked and dry soil surface with minor patches of green grass and small plants. The cracks are deep, indicating severe dryness. The soil appears dark and coarse, with some grass blades and thin plant roots scattered across the image.
A close-up view of cracked, dry soil with irregular patterns. The surface displays large and small fragments that are separated by dark fissures.
A close-up view of cracked, dry soil with irregular patterns. The surface displays large and small fragments that are separated by dark fissures.
Classification Analysis Tools

Developing algorithms inspired by micromorphology for effective soil feature recognition.

Integrating soilnet into GPT architecture for experimental validation and research.

Experimental Validation

SoilNet Project

Developing hierarchical classification models for paleosol research applications.

A close-up view of soil with small rocks scattered on its surface, partially illuminated by sunlight. In the background, green foliage is visible, slightly blurred, indicating a dense vegetation area.
A close-up view of soil with small rocks scattered on its surface, partially illuminated by sunlight. In the background, green foliage is visible, slightly blurred, indicating a dense vegetation area.
Classification Model

Simulating core methods of paleosol research effectively.

A close-up view of a patch of soil covered with various small rocks and pebbles. The soil appears dry and is mixed with different sizes and shapes of stones. Some of the rocks are smooth, while others are rough and slightly uneven.
A close-up view of a patch of soil covered with various small rocks and pebbles. The soil appears dry and is mixed with different sizes and shapes of stones. Some of the rocks are smooth, while others are rough and slightly uneven.
Analysis Tools

Designing algorithms inspired by micromorphological principles and features.

Aerial view of construction site soil with distinct tire tread patterns and uneven terrain. The surface shows a variety of textures and shades, primarily composed of light earth tones.
Aerial view of construction site soil with distinct tire tread patterns and uneven terrain. The surface shows a variety of textures and shades, primarily composed of light earth tones.
A textured surface of dark, compacted soil with a variety of small stones and pebbles mixed in. The soil appears dry, with shadows highlighting the rough terrain and uneven distribution of elements.
A textured surface of dark, compacted soil with a variety of small stones and pebbles mixed in. The soil appears dry, with shadows highlighting the rough terrain and uneven distribution of elements.
Integration Phase

Integrating SoilNet into GPT architecture for experimental validation.

Feature Extraction

Implementing multi-scale feature extraction mechanisms for classification.