Soil and Organic Matter Content Identification Dataset
#Object Detection #Classification #Segmentation #Soil Testing #Agricultural Monitoring #Precision Agriculture
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-12
AI Analysis & Value Prop
The current agricultural sector faces challenges of insufficient soil quality monitoring and difficulty in identifying organic matter content. Traditional soil testing methods are often time-consuming and costly, leading to inefficiencies in agricultural production. Existing solutions largely rely on manual testing and laboratory analysis, which are inefficient and yield inconsistent results. This dataset aims to enhance the efficiency of soil organic matter content detection through image recognition technology, meeting the needs of precision agriculture. The data collection process involves capturing images using high-resolution cameras in various soil environments, ensuring data diversity and representativeness. Data quality control includes multiple rounds of tagging, consistency checks, and expert reviews, ensuring the accuracy and consistency of annotations. Data is stored in JPEG format accompanied by structured JSON files, facilitating subsequent analysis and processing.
Dataset Insights
Sample Examples
1723d208**.jpg|4528*3016|2.62 MB
7274e18b**.jpg|6960*4640|6.85 MB
4e2278b8**.jpg|6000*4000|7.88 MB
3f82ee7d**.jpg|3963*5945|4.41 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| soil_type | string | Identifies the type of soil in the image, such as clay, loam, sand, etc. |
| organic_matter_content | float | Estimates the percentage of organic matter content in the soil based on the image. |
| soil_texture | string | Determines the textural characteristics of the soil through image analysis. |
| moisture_level | float | Assesses the moisture level of the soil through the picture. |
| color_index | string | Analyzes the color index in the image to help identify the health and characteristics of the soil. |
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 is the Soil and Organic Matter Content Recognition Dataset?
- The Soil and Organic Matter Content Recognition Dataset is an image dataset used for identifying and detecting soil and its organic matter content, aiding in the development of precision agriculture.
- Which industry is this dataset suitable for?
- This dataset is suitable for the agriculture industry, particularly for detecting soil composition and quality in precision agriculture.
- How does the dataset support the development of precision agriculture?
- By accurately detecting the organic matter content in soil, this dataset helps farmers optimize resource allocation and improve crop yield and quality.
- What is the main use of the Soil and Organic Matter Content Recognition Dataset?
- The main use of this dataset is to analyze the organic matter content in soil samples through image recognition technology, guiding agricultural production decisions.
- What is the data modality in this dataset?
- The data modality in this dataset is images, primarily used to detect and recognize soil characteristics.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Soil and Organic Matter Content Identification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/10745ce4d86d3516e53d20efd8973bc6},
urldate={2025-09-15},
keywords={Soil Testing Dataset, Organic Matter Content Identification, Agricultural Dataset, Object Detection},
version={1.0}
}Using this in research? Please cite us.
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