This dataset records the state of grapevines at different growth stages to aid precise agricultural management.

This is a target detection dataset for the classification of fence materials, assisting in agricultural monitoring and management.

This dataset focuses on agricultural environment monitoring and target detection under foggy conditions, providing high-quality image data.

The Garden Flower Rhododendron Identification Image Dataset is used to improve the accuracy of flower identification.

The Cattle Body Contour Segmentation Dataset provides high-quality semantic segmentation image data for agricultural monitoring, aiding precision agriculture.

The Garden Flower Eyelash Rhododendron Recognition Image Dataset focuses on accurate identification and classification of eyelash rhododendron varieties.

This dataset is dedicated to promoting agricultural automation by recognizing the use of farm tools, thereby enhancing agricultural production efficiency.

Train models to assess possible causes and key evidence in swimming crab disease and mortality cases using symptom, water quality, management, and test information.

Collection of asparagus images under different brands and packaging methods for packaging detection and automatic recognition in retail scenarios.

This dataset contains images of vineyard scenes under different seasons and lighting conditions, supporting AI model orchard recognition and analysis.

This dataset is used to analyze the correlation between the color characteristics and maturity of strawberries to enhance agricultural intelligence.

This dataset focuses on the classification of remote sensing images of farmland types, aiding in agricultural monitoring and research.

The Garden Flowers Plumbago Recognition Image Dataset aids in the precise identification and management of garden plants.

The Garden Flowers Hibiscus Identification Image Dataset focuses on improving the automatic identification and classification of hibiscus flowers in gardens.

Evaluate how well models extract strawberry growth stages and phenological attributes from cultivation webpages, with supporting evidence spans.

This dataset focuses on the identification and monitoring of seedling health status, supporting object detection tasks.

The Agricultural Product Harvest Basket Detection Dataset provides precise target detection support for agricultural automation.

Train models to check rules, act, and confirm outcomes across workplace meal order changes and cancellations.

This dataset is used for carrot quality grading, supporting target detection tasks.

The Tomato Peduncle Keypoint Dataset is a high-quality target detection dataset designed for intelligent agricultural monitoring.