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file_name
stringclasses
2 values
quality
stringclasses
1 value
fruit_tree_species
stringclasses
2 values
growth_stage
stringclasses
2 values
leaf_color
stringclasses
1 value
fruit_presence
stringclasses
2 values
canopy_density
stringclasses
2 values
disease_signs
stringclasses
1 value
4ea4cfd67e6afa9261c61e37758c831e.jpg
6960*4640
Unable to determine specific fruit tree species
Fruit-bearing stage
Green
Fruiting
Moderate
No obvious signs of disease
c47eb26ea479b1e3764b67aa2892f1c4.jpg
6960*4640
Apple tree
Fruiting
Green
Has fruit
Medium
No obvious signs of disease

Fruit Tree Growth Stage Classification Dataset

The current agricultural industry faces the challenge of accurately monitoring the growth stages of fruit trees. Traditional methods of manual observation are inefficient and prone to errors. Existing solutions often lack specificity and fail to provide real-time feedback on the growth of fruit trees. This dataset aims to use image classification technology to address the technical challenges of identifying fruit tree growth stages, assisting farmers and agricultural managers in optimizing management decisions. The dataset is constructed mainly through a combination of drone photography and ground collection methods, ensuring coverage of various growth environments. For quality control, multiple rounds of annotation and expert review are used to ensure data accuracy and consistency. The data is stored in JPEG format and organized by image ID for easy retrieval and use.

Technical Specifications

Field Type Description
file_name string File name
quality string Resolution
fruit_tree_species string Indicates the species of the fruit tree in the image.
growth_stage string Describes the growth stage of the fruit tree depicted in the image, such as budding, flowering, or fruiting.
leaf_color string Records the color of the leaves in the fruit tree image to assess health status.
fruit_presence boolean This field indicates whether fruits are present in the image.
canopy_density string Measures the density of the fruit tree canopy, categorized as sparse, medium, or dense.
disease_signs string Detects and records any signs of disease in the fruit tree image, such as leaf spots or wilting.

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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