Field Seedling Localization Dataset
#target detection #object recognition #agricultural monitoring #crop growth analysis #precision agriculture
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-11-05
AI Analysis & Value Prop
With the growth of the global population, agricultural production is facing greater pressure, making it essential to research how to improve crop yield and quality. However, current agricultural monitoring technologies still suffer from inefficiencies and insufficient precision. Existing solutions often rely on manual observation, which makes real-time and efficient data collection difficult. To address this issue, the Field Seedling Localization Dataset is constructed to provide high-quality target detection data, aiding researchers and companies in achieving better technological applications in the field of precision agriculture. The dataset structure includes image ID, bounding box, and species information. Data collection mainly uses high-resolution cameras under different lighting conditions to ensure diversity and representativeness. Quality control involves multiple rounds of annotation and expert review to ensure accuracy and consistency. Data is stored in JPEG format, organized into folders for easy use and analysis.
Dataset Insights
Sample Examples
eee1e98d**.jpg|3000*2000|1.43 MB
4416e2d3**.jpg|2000*3000|936.45 KB
96170437**.jpg|5350*3567|3.21 MB
f06d0b90**.jpg|4000*2000|1.72 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| growth_stage | string | The growth stage of the seedling as observed in the image. |
| leaf_color | string | The color of the seedling's leaves in the image, such as green, yellow, etc. |
| plant_health | string | The health status of the plant in the image, such as healthy, diseased, etc. |
| soil_condition | string | The condition of the soil visible in the image, such as dry, moist, etc. |
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 are the main applications of the field seedling localization dataset?
- The field seedling localization dataset is mainly used for seedling monitoring in precision agriculture, helping farmers optimize field management and improve crop yields.
- Why is the field seedling localization dataset important for agriculture?
- Because this dataset provides high-quality object detection data, which is crucial for increasing crop yields and management efficiency.
- What is the data format of the field seedling localization dataset?
- The dataset is composed of images used for object detection tasks.
- How can the field seedling localization dataset be used in precision agriculture?
- This dataset can be used to train machine learning models for automated seedling identification and localization, thereby improving the accuracy of field operations.
- How does the object detection ability of the field seedling localization dataset enhance agricultural productivity?
- By automatically identifying seedling positions, it improves the precision of operations such as spraying and fertilizing, thereby enhancing resource utilization efficiency and yield.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Field Seedling Localization Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/2117e44e2cf5f76f8e670b5cd6e0736b},
urldate={2025-09-15},
keywords={agriculture dataset, seedling localization, target detection, precision agriculture, agricultural monitoring},
version={1.0}
}Using this in research? Please cite us.
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