Floral Health Status Monitoring Dataset

In today's agricultural industry, as the area of flower cultivation expands, timely monitoring and evaluation of the floral health status becomes a challenge. Existing monitoring means primarily rely on manual observation, which is inefficient and prone to misjudgment. This dataset aims to provide an efficient and accurate solution for agricultural management by automatically identifying and evaluating floral health status through object detection technology. The dataset is collected using professional equipment under various environments and contains images of different types of flowers. We employ multi-round annotation and expert review quality control measures to ensure data accuracy and consistency. The data is stored in JPG format and organized by date and location, facilitating subsequent analysis and application.