Agriculture & Food

The Raspberry Fruit Detection Dataset is designed for intelligent monitoring in agriculture.

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

This dataset provides high-quality image data for orchard yield forecasting, supporting the development of agricultural intelligence.

This dataset aims to improve the efficiency and accuracy of carrot appearance inspection.

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

The pesticide spraying scene classification dataset is used to enhance the intelligence level of agricultural spraying operations.

This dataset is used for detecting the maturity of tomatoes, supporting agricultural intelligent management.

This dataset is specifically designed for identifying azaleas in garden flowers, enhancing the efficiency of horticultural management and plant protection.

This dataset focuses on image classification and recognition of pumpkins, aiding the development of smart agriculture.

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

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

This dataset focuses on tomato instance segmentation, aiming to improve the accuracy and efficiency of agricultural monitoring.

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

This dataset focuses on image detection of grape planting rows, supporting smart agriculture applications.

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

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

The Beehive Detection and Recognition Dataset provides high-quality object detection data for agricultural intelligent monitoring, aiding in improving operational efficiency.

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

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

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