Grassland Degradation Monitoring Dataset
#target detection #image recognition #farmland monitoring #ecological assessment #environmental protection
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-13
AI Analysis & Value Prop
The current agricultural sector faces challenges such as severe grassland degradation and ecological environment deterioration. Traditional monitoring methods are inefficient and struggle to obtain real-time grassland status. Existing solutions often rely on manual monitoring, which is highly subjective and inefficient. To address these issues, this dataset aims to provide high-quality grassland degradation monitoring image data to support the application of computer vision technology in target detection. Data collection is conducted using drones equipped with high-resolution cameras during different growth seasons and climate conditions, ensuring data diversity and representativeness. Quality control measures include multiple rounds of annotation, consistency checks, and expert reviews to ensure the accuracy of data annotations. The data storage format is JPG, organized by month and region for easy subsequent analysis and use.
Dataset Insights
Sample Examples
21a28763**.jpg|4464*2976|2.59 MB
96ffa940**.jpg|4000*2667|1.31 MB
880ed16f**.jpg|5184*3456|3.85 MB
13b9551d**.jpg|7360*4912|6.79 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| vegetation_type | string | Identify the type of vegetation in the image, such as grass, shrubs, etc. |
| degradation_level | string | Assess the severity of grassland degradation, such as mild, moderate, severe, etc. |
| erosion_signs | string | Identify whether there are signs of soil erosion in the image. |
| dominant_plant_species | string | Identify the dominant plant species in the image. |
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 main purpose of the Grassland Degradation Monitoring Dataset?
- The main purpose of the Grassland Degradation Monitoring Dataset is to aid in identifying and monitoring grassland degradation in agriculture, enabling appropriate restoration actions.
- What type of image data does this dataset contain?
- This dataset contains high-quality images of grassland degradation for object detection, which can be used to train detection models.
- How can this dataset be used to improve agricultural monitoring accuracy?
- By applying this dataset to object detection algorithms, the accuracy of grassland degradation identification can be improved, thereby better aiding agricultural management.
- Why is grassland degradation monitoring important for agriculture?
- Grassland degradation monitoring can help agricultural practitioners promptly identify and remediate degraded areas, protecting the environment and enhancing sustainable land use.
- What makes this dataset special compared to other agricultural datasets?
- This dataset is specifically focused on identifying grassland degradation, offering high specificity and precise data support for monitoring in particular agricultural environments.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Grassland Degradation Monitoring Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/c53415cf1ca97f54df89d01307373245},
urldate={2025-09-15},
keywords={grassland monitoring dataset, agricultural target detection, ecological monitoring data, grassland degradation},
version={1.0}
}Using this in research? Please cite us.
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder