Soil Type Identification Dataset
#image classification #feature extraction #agricultural monitoring #soil analysis #crop management
- 15000 records
- 4.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-20
AI Analysis & Value Prop
The current agricultural sector faces challenges such as declining soil quality and difficulties in identifying soil types, affecting crop growth and agricultural production efficiency. Existing soil analysis methods often rely on laboratory chemical analysis, which is time-consuming and costly. This dataset aims to assist agricultural practitioners in quickly identifying soil types through image classification technology, allowing for appropriate management measures. The dataset includes diverse soil images collected from different regions, ensuring coverage of various soil types. Data collection uses high-resolution cameras, capturing images in natural environments to accurately reflect soil characteristics. Quality control measures include multiple rounds of annotation and expert review to ensure consistency and accuracy of annotations. Data is stored in JPG format, organized by category, facilitating subsequent training and analysis.
Dataset Insights
Sample Examples
667568ac**.jpg|5760*3840|4.97 MB
048c774b**.jpg|6000*4000|7.88 MB
552cf4d4**.jpg|6000*4000|7.18 MB
2f18c0cd**.jpg|4000*2000|1.72 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| soil_type | string | The identified type of soil, such as sandy soil, clay soil, etc. |
| texture | string | The texture characteristics of the soil surface, such as grain size. |
| color | string | The color of the soil, which may affect the identification of certain types. |
| moisture_level | string | The level of moisture in the soil, which can be identified from the image. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| 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 is the Soil Type Recognition Dataset?
- The Soil Type Recognition Dataset is a collection of various soil images designed to help the agricultural sector quickly identify different soil types through image recognition technology.
- How does this dataset benefit the agricultural sector?
- By providing images of different soil types, this dataset assists agricultural professionals in efficiently identifying soil types, aiding in optimized planting decisions and increased productivity.
- What types of images are included in the Soil Type Recognition Dataset?
- The dataset includes images of various soil types such as sandy soil, loam, clay, etc., covering various types for identification purposes.
- How is the dataset categorized?
- The dataset is categorized through image classification techniques, using machine learning algorithms to recognize and classify soil types.
- Who can use the Soil Type Recognition Dataset?
- Agricultural professionals, researchers, and anyone interested in understanding soil types through image recognition technology can use this dataset.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Soil Type Identification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/dc9305f11f0bbce76cf09a51ef60698b},
urldate={2025-09-15},
keywords={soil type identification, agricultural dataset, image classification, soil analysis, agricultural monitoring},
version={1.0}
}Using this in research? Please cite us.
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