Home/Agriculture/Strawberry Harvest Traceability Dataset

Strawberry Harvest Traceability Dataset

V1.0
Latest Update:
2025-10-14
Samples:
5000 records
File Size:
1.5G
Format:
JPG/PNG/JSON
Data Domain:
Image
Holder:
MOBIUSI INCMOBIUSI INC
Industry Scope:
Intelligent Traceability | Supply Chain Management | Agricultural Monitoring
Applications:
Target Detection | Image Classification

Brief Introduction

In modern agriculture, the strawberry harvesting process faces issues with inaccurate traceability and low efficiency. Existing traceability systems often rely on manual input, resulting in data inconsistencies and frequent errors. This dataset aims to provide accurate images and tracking labels to support intelligent traceability systems, enhancing supply chain transparency and traceability capabilities. The dataset contains a large number of images from the strawberry harvest process, captured with high-resolution cameras under natural light conditions to ensure image quality. During the data collection process, multiple rounds of annotation and consistency checks are implemented to ensure data accuracy and completeness. All data is stored in JPG format, accompanied by labels in JSON files, facilitating subsequent data processing and analysis.

Sample Examples

ImageFile NameResolutionRipeness LevelDefect PresenceDefect TypeLeaf InclusionPlant Part CoveredWeather ConditionLighting Condition
1b6a1aca8874d937dd89983ce46be02f.jpg4032*3024One ripe, one unripeNoNoneYesFruit, LeafSunnyDaylight
44e8e04ca5848c79e84f21a07841890c.jpg3456*4608Mix of semi-ripe and ripe.No obvious defects observed.No obvious defects.Includes strawberry leaves.Fruit, leaves.Sunny.Daylight.
edf87b8f9164f2f97190de5e1a9fe537.jpg4032*3024RipeNoNoneYesFruitSunnyDaylight

Data Structure

FieldTypeDescription
file_namestringFile name
qualitystringResolution
ripeness_levelstringThe ripeness level of the strawberries in the image, such as: unripe, semi-ripe, ripe.
defect_presencebooleanWhether there are visible defects on strawberries in the image.
defect_typestringThe type of defects on strawberries in the image, such as: pest damage, rot, bruising.
leaf_inclusionbooleanWhether the image includes strawberry leaves.
plant_part_coveredstringInformation on the plant parts covered in the image, such as fruit, leaves, stem, etc.
weather_conditionstringThe weather condition when the image was taken, such as: sunny, cloudy, rainy.
lighting_conditionstringThe lighting condition when the image was taken, such as: daylight, artificial light, shadow.

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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