Home/Agriculture/Soil Moisture Cycle Change Dataset

Soil Moisture Cycle Change Dataset

V1.0
Latest Update:
2025-10-11
Samples:
5000 records
File Size:
1.2G
Format:
JPG/PNG/JSON
Data Domain:
Image
Holder:
MOBIUSI INCMOBIUSI INC
Industry Scope:
agricultural monitoring | soil management | environmental research
Applications:
object detection | image classification

Brief Introduction

The current agricultural sector faces the challenge of insufficient monitoring of soil moisture changes, with existing methods often relying on manual measurements that are inefficient and lack accuracy. Traditional solutions cannot reflect the dynamic changes of soil in real-time during data collection, affecting crop management and decision-making. This dataset aims to provide a comprehensive soil moisture cycle change monitoring solution through high-quality image data, meeting the modern agricultural need for precise data. Data collection uses high-resolution cameras combined with professional soil moisture sensors, capturing in various environmental conditions to ensure diversity and authenticity of the data. For quality control, a multi-round annotation and expert review approach is adopted to ensure data accuracy. Data is stored in JPEG format, organized by time and location for easy subsequent analysis and use.

Sample Examples

ImageFile NameResolutionSoil TypeWetness LevelTextureColorVegetation PresenceCrack PresenceLight ExposureParticle SizeCompaction
5700fdb9e31ece5fcf00326e099d43ad.jpg4048*3032LoamDryCoarseBrownPresentNo CracksSunlightMediumCompact
6503b08477049bcf8af9b719b4d66fb1.jpg5760*3840LoamDryCoarseBrownPresentNo cracksSunlightMediumLoose
9a546e1503cbee4840f85a48473a9309.jpg6000*4000loamdrycoarsebrownpresentyessunlightmediumloose
cb7cedd828062e025bdc9a7d3831d77f.jpg3963*5945loammoistcoarsebrownvegetation presentno crackssunlightmediumloose

Data Structure

FieldTypeDescription
file_namestringFile name
qualitystringResolution
soil_typestringIdentify the specific type of soil, such as sandy soil, loam, clay, etc.
wetness_levelstringThe level of soil wetness, such as dry, moist, very wet, etc.
texturestringThe textural characteristics of the soil surface, such as rough, smooth, etc.
colorstringThe color of the soil, represented using standard color names.
vegetation_presencebooleanIndicates if there is vegetation (such as grass, plants) present in the image.
crack_presencebooleanIndicates if cracks can be observed on the soil surface.
light_exposurestringThe light exposure condition of the soil in the image, such as sunlight, shadow, etc.
particle_sizestringThe size characteristics of soil particles, such as fine, small, medium, etc.
compactionstringThe degree of soil compaction, such as loose, firm, etc.

Compliance Statement

ItemContent
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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