The Garden Flowers Blue Potato Tree Recognition Image Dataset is designed to improve the technology of flower recognition in agriculture, forestry, and fishery.

Provides a high-quality image dataset for identifying pest leafhoppers in durian planting.

The Garden Flowers Canna Indica Identification Image Dataset is used to improve plant identification accuracy.

The Japanese Quince recognition image dataset aids plant identification and classification in agriculture, forestry, and fisheries.

This dataset provides high-quality images for rice tillering recognition, supporting precision agriculture applications in the agriculture and forestry fields.

The Garden Flower Azalea Recognition Image Dataset focuses on improving the accuracy of azalea variety recognition.

The Ornamental Flowers Plum Recognition Image Dataset provides high-quality image resources for the identification and classification of plum varieties.

A high-quality image dataset for identifying and classifying garden flower Digitalis.

High-precision image dataset for recognizing garden flower calla lilies.

A high-quality image dataset for identifying New Guinea Impatiens.

The Corn Rust Disease Recognition Image Dataset supports precise identification and monitoring of corn rust disease, improving efficiency in crop health management.

The Gardening Flowers Yellow Ginger Flower Recognition Image Dataset is a dataset designed to enhance the intelligent recognition capabilities of the horticulture industry.

The Garden Flower Paphiopedilum Recognition Image Dataset effectively supports flower recognition and analysis in the agriculture and forestry industries.

The River Debris Detection Image Dataset provides precise image resources for environmental research and applications.

The sonar image-based fishery fish school density retrieval dataset supports precise fish density analysis.

The Garden Flower Beautiful Floss Silk Tree Recognition Image Dataset provides high-quality flower recognition images to promote smart agriculture and horticultural automation.

Durian plantation pest identification scale insect image dataset, aiding precision agriculture pest management.

This dataset focuses on identifying pansy varieties in garden flowers.

This dataset is used to identify pest psyllids in durian plantations, assisting agricultural practitioners in accurate judgment and taking measures.

This dataset focuses on the image recognition of garden flowers Chrysanthemum, and can be used to improve the accuracy of plant classification.