Agriculture & Food

This dataset focuses on the recognition of lotus flowers in garden flora, providing data support for floral management and automation.

This dataset is intended to improve the accuracy and efficiency of sweet potato target detection, promoting the development of smart agriculture.

Identify leaf rot disease in durian plantations through a high-quality image dataset.

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

This dataset provides image data of cabbage pests, aiding precision agriculture and intelligent agricultural monitoring.

This dataset provides high-quality images for greenhouse tomato environment monitoring, supporting object detection tasks.

The dataset for identifying pink disease in durian plantations is dedicated to improving the accuracy of disease detection.

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

This dataset is used for automatic detection and statistics of seedling quantity, supporting precision agriculture.

This dataset provides precise pixel-level segmentation annotations for crop pest monitoring, aiding the development of AI models.

The land degradation monitoring dataset records images of varying levels of land cracking and degradation to assist AI in monitoring land quality.

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

The Garden Flower Cleome Identification Image Dataset is a high-quality image library designed to improve the accuracy of plant identification.

The agricultural labor teaching dataset provides a rich image data resource for agricultural education, aiding skills transfer and technical training.

This dataset focuses on the classification and object detection of rural labor living scenes to support the development of agricultural intelligence.

This dataset is used to monitor the water accumulation situation in farmland at different stages after heavy rainfall, aiding agricultural risk management.

This dataset provides high-quality target detection images for crop growth stage monitoring.

The Strawberry Harvest Traceability Dataset provides comprehensive support for agricultural intelligent traceability.

The Cabbage Yield Prediction Dataset aims to improve the accuracy of agricultural yield predictions.

The Tea Garden Landscape Recognition Dataset aims to enhance tea garden management efficiency through image classification technology.