Soil Fertility and Seedling Relationship Dataset
#target detection #image classification #crop monitoring #agricultural research #soil analysis
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-06-07
AI Analysis & Value Prop
The agricultural industry faces challenges of insufficient soil fertility and poor seedling growth, leading to reduced crop yields. Existing solutions often rely on traditional soil testing methods that cannot monitor and evaluate seedling growth in real-time. This dataset aims to help researchers and agricultural practitioners analyze the relationship between soil fertility and seedling growth through high-quality image data. The dataset is constructed by capturing seedling images under different soil conditions using high-resolution cameras, while simultaneously measuring soil fertility. We have also conducted multiple rounds of annotation and expert review to ensure data accuracy and consistency. Data is stored in JPEG format, with annotation information organized in JSON format, facilitating subsequent analysis and model training.
Dataset Insights
Sample Examples
488b60f1**.jpg|3000*2000|1.43 MB
0b30fd41**.jpg|2000*3000|936.45 KB
872b0e6f**.jpg|5350*3567|3.21 MB
ab273606**.jpg|4000*2000|1.72 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| soil_type | string | Indicates the type of soil in the image, such as sandy soil or clay soil. |
| seedling_health_status | string | A description of the health condition of the seedlings, such as healthy or wilting. |
| growth_stage | string | The growth stage of the seedlings, such as germination or growing phase. |
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 types of image information does this dataset contain?
- The Soil Fertility and Seedling Relationship dataset contains high-quality image information on soil fertility and seedling growth, aiding in the detection and analysis of their relationship.
- How can this dataset be used for agricultural research?
- Researchers can use this dataset to analyze seedling growth patterns under different soil fertility conditions, optimizing agricultural practices and soil management strategies.
- What are the potential applications of this dataset in machine learning?
- Using object detection techniques, this dataset can train machine learning models to identify and assess soil and crop health, aiding precision agriculture.
- What is an object detection dataset?
- An object detection dataset is used to train models to identify and locate objects of interest in images. In agriculture, it can be used to detect crop growth conditions.
- What are the shooting conditions for images in the dataset?
- Images in the dataset are captured under various soil fertility conditions and seedling growth stages, ensuring a comprehensive coverage of growth and environmental scenarios.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Soil Fertility and Seedling Relationship Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/909b4c3542eabd6d76865054a6e17094},
urldate={2025-09-15},
keywords={soil fertility, seedling relationship, agricultural dataset, target detection},
version={1.0}
}Using this in research? Please cite us.
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