Soil Fertility Evaluation Dataset
#Object Detection #Image Segmentation #Crop Growth Monitoring #Soil Health Assessment #Precision Agriculture
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-10-24
AI Analysis & Value Prop
The current agriculture industry is facing the issue of inaccurate soil fertility evaluations, affecting crop growth and yield. Existing solutions rely on manual assessment, which is inefficient and prone to errors, failing to meet the demands of precision agriculture. This dataset aims to provide accurate soil fertility detection through image data, helping farmers and agricultural experts better manage soil. Data collection uses drone aerial photography under different soil conditions to ensure diversity coverage. For quality control, multiple rounds of annotation and expert reviews are used to ensure data accuracy and consistency. Data is stored in JPG format and accompanied by JSON files providing detailed annotation information for convenient subsequent processing and analysis.
Dataset Insights
Sample Examples
bb2f7a5b**.jpg|4528*3016|2.62 MB
b68f0334**.jpg|6000*4000|7.88 MB
80d8c53c**.jpg|6000*4000|7.18 MB
0a2ad74c**.jpg|4000*2000|1.72 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| soil_texture | string | Describes the physical properties of the soil, including particle size and shape characteristics. |
| soil_color | string | The color of the soil, which often reflects the organic content of the soil. |
| vegetation_coverage | float | Proportion of greenery in the image, used to assess soil fertility. |
| moisture_content | float | Percentage of moisture content in the soil, estimated through image processing techniques. |
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 main use of the Soil Fertility Assessment Dataset?
- The Soil Fertility Assessment Dataset is primarily used to support precision agriculture by providing high-quality image data to aid in soil fertility research and assessment.
- What modalities of data does this dataset include?
- This dataset includes image modality data, focusing on image information related to soil fertility.
- Why choose object detection to assess soil fertility?
- Using object detection to assess soil fertility allows for more precise image analysis, thus enhancing the efficiency and effectiveness of agricultural research.
- In which fields can the Soil Fertility Assessment Dataset be applied?
- The Soil Fertility Assessment Dataset can be applied in the field of agriculture, particularly in the research and practice of precision agriculture.
- How is the high quality of this dataset ensured?
- The high quality of this dataset is ensured through meticulous image collection and strict data validation processes.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Soil Fertility Evaluation Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/c2656ea773f5f9a85c20110aefb1b623},
urldate={2025-09-15},
keywords={Soil Fertility Evaluation, Agricultural Dataset, Object Detection, Precision Agriculture},
version={1.0}
}Using this in research? Please cite us.
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