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
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-04

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

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

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Cite this Work

@dataset{Mobiusiundefined,
  title={},
  author={Mobiusi},
  year={undefined},
  url={https://www.mobiusi.com/datasets/d289a54f7ce237a855725fe69e272896},
  urldate={},
  keywords={},
  version={}
}

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