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

The Orchid Identification Image Dataset aims to improve the accuracy and efficiency of orchid identification.

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

This dataset aims to support machine learning tasks for hibiscus flower identification in the fields of horticulture and agriculture.

The Sweet Potato Quality Detection Dataset is a high-quality image dataset for object detection, aimed at improving the efficiency of sweet potato quality assessment.

The Plant Growth Stage Classification Dataset is dedicated to promoting the development of intelligent agriculture.

This dataset is used to study spray nozzle trajectories, providing data support for precision agriculture.

Train models to trace water quality and prawn condition changes to their likely causes and make evidence-based pond management judgments.

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

This dataset is used for green chili damage recognition, supporting object detection tasks and promoting agricultural intelligence.

This is a target detection dataset for the classification of fence materials, assisting in agricultural monitoring and management.

The Agricultural Product Harvest Basket Detection Dataset provides precise target detection support for agricultural automation.

This dataset provides high-quality image data for farmland soil moisture estimation, aiding the development of precision agriculture.

This dataset is used for classifying the growth stages of fruit trees, aiding in precision agriculture management.

This dataset provides rich images and annotation data for farmland water detection, supporting the application of AI technology in agriculture.

This dataset provides high-quality image data for monitoring the growth of fennel crops, supporting agricultural object detection research.

This dataset focuses on identifying pansy varieties in garden flowers.

This dataset focuses on tomato fruit counting to aid the development of smart agriculture.

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