Agriculture & Food

Raspberry variety classification dataset to support intelligent agriculture in raspberry variety recognition and classification research.

The Onion Harvest Detection Dataset provides precise target detection data for agricultural intelligence, aiding in enhancing harvest efficiency.

The dataset focuses on the recognition of garden flower balloon flowers to enhance image resolution capabilities in agriculture and forestry.

This dataset is used for the recognition and classification of Orychophragmus violaceus in garden flowers.

This dataset is used to recognize agricultural spraying actions, aiding the development of smart agriculture.

This dataset provides high-quality images of tomatoes and their quality grading to support agricultural intelligence.

The Triangular Maple Recognition Image Dataset is used to enhance plant recognition technology.

This dataset provides image classification support for grape destemming task status in the agricultural field.

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

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

The Landscape Flora Koelreuteria Identification Image Dataset is used to enhance the accuracy of Koelreuteria classification and identification.

This dataset provides high-quality image data for grassland moisture and health monitoring, aiding intelligent agriculture management.

This dataset is used for AI automated judgment of strawberry ripeness, promoting the development of intelligent picking and grading technology.

The fruit tree quantity detection dataset aims to improve the efficiency and accuracy of fruit tree management.

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

Garden flower rhododendron identification image dataset is used to enhance the performance of machine learning models for the identification and classification of rhododendrons.

The Grape Destemming Recognition Dataset aims to advance agricultural automation and improve destemming efficiency.

The Tea Garden Scene Recognition Dataset provides high-quality object detection data for the agriculture sector, aiding the development of intelligent technologies.

This dataset provides high-quality target detection image data for pesticide spraying to assist in the enhancement of agricultural safety monitoring technology.