Home/Agriculture/Grape Growth Monitoring Dataset

Grape Growth Monitoring Dataset

V1.0
Latest Update:
2025-10-14
Samples:
5000 records
File Size:
1.2G
Format:
JPG/PNG/JSON
Data Domain:
Image
Holder:
MOBIUSI INCMOBIUSI INC
Industry Scope:
Precision Agriculture | Crop Monitoring | Agricultural Management
Applications:
Target Detection | Image Recognition

Brief Introduction

The current agricultural sector faces the challenge of effectively monitoring crop growth conditions. Traditional monitoring methods often rely on manpower, resulting in inefficiency and errors. Existing solutions lack real-time data acquisition and accuracy, failing to meet the needs of precise agricultural management. This dataset aims to record the state of grapevines at different growth stages through high-quality field images, addressing the issue of precise growth identification. Data collection is conducted using high-resolution cameras in natural environments, ensuring the authenticity and diversity of the images. Multiple rounds of annotation and expert-reviewed quality control measures ensure data accuracy and consistency. The data is stored in JPEG format, organized structurally for easy subsequent processing and analysis.

Sample Examples

ImageFile NameResolutionGrowth StageGrape VarietyDisease PresenceLeaf ColorFruit LoadCanopy DensitySoil Condition
a8ba935205dc07ed86ce932098d67547.jpg5616*3744Fruit stageUnknownNo obvious signs of diseaseGreenMediumModerateCovered
7f062b09184a4e9054b967c8ce6bfb34.jpg4000*6000germination stagevariety unknownno signs of diseasegreenno fruitsparsecovered
c8e8afbd6bf1dbfefc172e0df33518e7.jpg5616*3744Fruit StageUndetectableNoGreenMediumModerateDifficult to Determine

Data Structure

FieldTypeDescription
file_namestringFile name
qualitystringResolution
growth_stagestringThe growth stage of the grapevine at the time the image was taken, such as bud stage, flowering stage, or fruit setting stage.
grape_varietystringThe variety of the grapevine shown in the image, such as Cabernet Sauvignon or Pinot Noir.
disease_presencebooleanIndicates whether there are any visible signs of grapevine diseases in the image.
leaf_colorstringDescribes the color of the grape leaves in the image, such as green, yellow, or brown, which may indicate health status.
fruit_loadstringIndicates the level of grape fruit load visible in the image, such as low, medium, or high.
canopy_densitystringThe density level of the grapevine canopy, such as sparse, medium, or dense.
soil_conditionstringDescribes the soil condition visible in the image, such as dry, moist, or covered.

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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