Grassland Moisture and Health Monitoring Dataset
#Object Detection #Image Recognition #Data Analysis #Agricultural Monitoring #Crop Management #Environmental Monitoring
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-13
AI Analysis & Value Prop
The current agricultural sector faces challenges such as climate change and resource scarcity, particularly in grassland management. Scientifically monitoring the moisture and health status of grassland has become crucial. Existing solutions often rely on manual detection, which is inefficient and lacks accuracy. This dataset aims to provide high-quality grassland moisture and health monitoring image data to support intelligent agricultural decision-making. The dataset contains 5000 annotated images covering grasslands with different moisture levels and health statuses. Data collection was performed using drones and high-definition cameras under various climate conditions to ensure data diversity and representativeness. Quality control measures include multiple rounds of annotation and expert review to ensure annotation accuracy. The data is stored in JPG format and organized by image ID and timestamp.
Dataset Insights
Sample Examples
ac5c6f6e**.jpg|4464*2976|2.59 MB
38475012**.jpg|4000*2667|1.31 MB
18579ba4**.jpg|5184*3456|3.85 MB
bfad676e**.jpg|7360*4912|6.79 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| vegetation_type | string | The type of vegetation observed in the grassland image. |
| humidity_level | float | The estimated moisture level of the grassland in the image, ranging from 0 (very dry) to 1 (very moist). |
| vegetation_health | string | The health status of the grassland vegetation evaluated based on visual features, such as Healthy, Sub-healthy, or Unhealthy. |
| soil_exposure | float | The proportion of exposed bare soil areas visible in the image, ranging from 0 to 1. |
| canopy_density | float | The density of vegetation cover in the image, ranging from 0 to 1. |
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 uses of the grass moisture and health monitoring dataset?
- This dataset can be used to study grass moisture and plant health, aiding in agricultural management, research, and crop yield prediction.
- What types of images are included in this dataset?
- The dataset includes high-quality images reflecting grass moisture and health, suitable for object detection tasks.
- How to use this dataset for object detection?
- By training object detection models, you can identify and detect moisture and health features on different grasslands for further analysis.
- How does the grass moisture and health monitoring dataset assist smart agriculture?
- The data provided by this dataset can help optimize water resource utilization, enhance crop health management, and ultimately increase agricultural output efficiency.
- Is specific software needed to process and analyze the images in this dataset?
- The images can be analyzed and processed using general image processing software and machine learning frameworks to perform object detection.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Grassland Moisture and Health Monitoring Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/d289a54f7ce237a855725fe69e272896?dataset_scene_id=5},
urldate={2025-09-15},
keywords={Grassland Moisture Monitoring, Agricultural Dataset, Object Detection Dataset, Health Monitoring Data},
version={1.0}
}Using this in research? Please cite us.
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