Home/Agriculture/Tea Garden Ecological Monitoring Dataset

Tea Garden Ecological Monitoring Dataset

V1.0
Latest Update:
2025-10-15
Samples:
5000 records
File Size:
1.2G
Format:
JPG/PNG/JSON
Data Domain:
Image
Holder:
MOBIUSI INCMOBIUSI INC
Industry Scope:
ecological monitoring | agricultural management | crop health assessment
Applications:
target detection | classification tasks

Brief Introduction

The agricultural sector currently faces challenges in ecological environment monitoring, including timely assessment of crop health and pest monitoring. Existing solutions often rely on manual detection, which is inefficient and prone to error. This dataset aims to provide high-quality images for tea garden ecological monitoring to address the data shortage in target detection, supporting automatic crop health assessment and pest monitoring. Data is collected using high-resolution cameras at different times in the tea gardens to ensure diversity and representativeness. All images have gone through multiple rounds of annotation and consistency checks to ensure annotation quality. The data storage format is JPG with an organized folder structure classified by category. Data quality control measures include expert review and multiple rounds of annotation.

Sample Examples

ImageFile NameResolutionPlant SpeciesPest PresencePlant HealthLeaf ColorLighting ConditionsWeather Conditions
fe6203c185c1660407b1685257c14d7e.jpg5184*2912Tea PlantNo obvious pestsHealthyGreenSunlightSunny
603a322ae90fde69fb25ac1b78ce65e8.jpg5397*3602Difficult to determine specific species, but it is a field of various crops.No obvious presence of pests.The plants appear healthy.Green.Sunlight.Sunny.

Data Structure

FieldTypeDescription
file_namestringFile name
qualitystringResolution
plant_speciesstringThe species of plants appearing in the image.
pest_presencebooleanIndicates whether pests are present in the image.
plant_healthstringThe health status of the plants in the image, such as healthy or diseased.
leaf_colorstringThe color of the leaves in the image, such as green or yellow.
lighting_conditionsstringThe lighting conditions at the time the picture was taken, such as sunlight or shade.
weather_conditionsstringThe weather conditions when the picture was taken, such as sunny or rainy.

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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