This dataset is used for asparagus quality grading to support agricultural automation detection.

The Field Seedling Localization Dataset focuses on providing high-quality target detection data for precision agriculture.

This dataset focuses on the semantic segmentation of seedlings and soil, aiding the development of precision agriculture.

Garden flower Impatiens recognition image dataset helps improve plant recognition efficiency.

Train models to assess factors affecting giant freshwater prawn growth and feed efficiency using farming context and evidence.

This dataset aims to enhance weed removal efficiency through object detection technology, providing data support for smart agriculture.

The Garden Flowers Strawflower Recognition Image Dataset is used to improve plant recognition capabilities in the fields of agriculture, forestry, and fisheries.

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

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

This dataset is used for the detection and localization of strawberry fruits, aiding the development of agricultural intelligence.

This dataset aims to enhance the automatic recognition of pests and diseases in tea tree leaves, contributing to the development of precision agriculture.

Beehive scene recognition dataset to support intelligent agricultural management.

This dataset is dedicated to providing high-quality image data for farmland and woodland boundary detection.

This dataset records images of papaya from seedling to fruiting stages, intended for AI models to recognize crop growth status and support precision agriculture management.

The Garden Flower Ixora Image Recognition Dataset is used to improve the accuracy of flower recognition in agriculture and forestry.

The durian plantation epiphyte lichen image dataset focuses on enhancing the ability to identify lichens in durian plantation management.

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

This dataset is a high-quality land use cover remote sensing dataset focused on the agricultural field, supporting object detection tasks.

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

This dataset is used for training models to automatically recognize asparagus, containing images under different varieties and lighting conditions.