Mobiusi/Leaf-Health-Status-Classification-Dataset

Leaf Health Status Classification Dataset

The current agricultural industry faces challenges in pest and disease monitoring and management, especially in large-scale plantations, where manual inspection is costly and inefficient. The application of existing machine vision technology in target detection and classification is not yet widespread, leading to an inability to promptly respond to pest invasions. This dataset aims to provide high-quality leaf health status classification data to support automatic pest and disease recognition and monitoring in the agricultural field. Data collection uses high-resolution cameras in different field environments to ensure coverage of various lighting and weather conditions. To ensure data quality, multiple rounds of labeling and consistency checks are conducted, reviewed by agricultural experts. Data storage uses JPG format, organized by folder structure, ensuring easy access and use. This dataset not only improves labeling accuracy (up to 95%) but also optimizes data consistency and integrity, ensuring the key features of each sample are preserved. By introducing new data augmentation techniques, the generalization ability of models is enhanced, expecting to improve performance metrics in pest and disease identification tasks by over 20%.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
leaf_health_status	string	Describes the current health status of the leaf, such as healthy, diseased, or pest-infested.
disease_type	string	Identifies the specific name of the disease present on the leaf.
pest_type	string	Identifies the specific name of the pest present on the leaf.
damage_level	int	Quantifies the extent of damage to the leaf, which can be represented by a rating value.
leaf_position	string	Describes the position of the leaf in the plant, such as top, middle, or bottom.

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