This dataset aims to enhance the technology for identifying and detecting labor behavior in the tea picking process.

This dataset focuses on semantic segmentation of vegetable leaves, providing data support for precision agriculture.

This dataset focuses on identifying epiphytes in durian plantations through moss images.

This dataset records the ecological damage patterns of pests on crop leaves, aiming to support agricultural ecological research.

Pumpkin object detection dataset providing high-quality pumpkin image data for training object detection algorithms.

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

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

A high-precision image dataset for automatic lavender recognition.

This dataset focuses on semantic segmentation of soil texture and particles, aiming to improve the efficiency and accuracy of agricultural monitoring.

This dataset is used for identifying weed coverage in farmland, aiding the development of smart agriculture.

This dataset is used to identify farmers' postures and work statuses, supporting the development of smart agriculture.

The Musella Lasiocarpa Image Recognition Dataset for Garden Flowers is a high-quality image dataset used to identify specific varieties of flowers.

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

The Orchard Scene Recognition Dataset provides high-quality images and annotations for agricultural object detection, aiding in orchard management and monitoring.

The Ixeridium Image Recognition Dataset is designed to enhance the accuracy of recognizing the Ixeridium plant species.

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

The Tea Garden Ecological Monitoring Dataset is used to support target detection and ecological monitoring in the agricultural sector.

The garden flower peony identification image dataset is used to enhance the automatic identification ability of peony varieties.

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

This dataset is used for the recognition of asparagus packaging labels, supporting supply chain traceability and anti-counterfeiting applications.