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file_name
stringclasses
1 value
quality
stringclasses
1 value
fenugreek_plant_stage
stringclasses
1 value
leaf_health_status
stringclasses
1 value
plant_height
stringclasses
1 value
plant_density
stringclasses
1 value
flower_count
stringclasses
1 value
soil_condition
stringclasses
1 value
weather_conditions
stringclasses
1 value
light_intensity
stringclasses
1 value
9e047de9d3b40c1e2fc302a5ddab1b45.jpg
6960*4640
Growth stage not specified
Healthy
Approximately 50 cm
High density
Not noticeably detected
Not detailed detected
Indoor lighting bright
Unable to measure accurately, but sufficient lighting

Fennel Crop Growth Monitoring Dataset

Currently, the agricultural sector faces challenges such as the lack of high-precision data and real-time monitoring in crop growth monitoring. Traditional monitoring methods often rely on manual observation, which is inefficient and prone to errors. Existing solutions are limited in terms of data update speed and accuracy, failing to meet the precision and timeliness demands of modern agriculture. The construction of this dataset aims to solve the problems of image recognition and classification in object detection by providing high-quality fennel crop growth monitoring data, meeting the data needs in agricultural production. Data collection uses drone aerial photography techniques with high-resolution cameras, capturing images at different growth stages and under different environmental conditions. To ensure data quality, multiple rounds of annotation and consistency checks were implemented, and the data was reviewed by agricultural experts. The data is stored in JPG format, organized by time and growth stage, to facilitate subsequent analysis and model training.

Technical Specifications

Field Type Description
file_name string File name
quality string Resolution
fenugreek_plant_stage string Indicates the growth stage of the fenugreek plant, such as seedling stage, flowering stage, etc.
leaf_health_status string Describes the health condition of the leaf, such as healthy, diseased, pest damage, etc.
plant_height float Measures the vertical height of the plant from the base to the top (in centimeters).
plant_density integer The number of plants per unit area visible in the image.
flower_count integer The total number of flowers visible in the image.
soil_condition string Describes the condition of the soil surface, such as dry, moist, muddy, etc.
weather_conditions string The weather conditions at the time of image capture, such as sunny, overcast, rainy, etc.
light_intensity float The light intensity at the time of capturing, usually measured in lumens (lux).

Compliance Statement

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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com

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