Foggy Day Field Environment Monitoring Dataset

In the agricultural field, foggy days significantly impact crop growth and environment monitoring, especially under low visibility conditions where traditional monitoring methods are difficult to execute effectively. Existing solutions often rely on data collection under clear weather conditions, resulting in a severe shortage of monitoring data for foggy conditions. This dataset aims to provide high-quality foggy day field environment monitoring data to support target detection tasks and meet agricultural monitoring needs. Data collection is conducted with high-resolution cameras in various foggy environments, ensuring coverage of different crop types and growth stages. To ensure data quality, we implemented multiple rounds of annotation and consistency checks, with the annotation results reviewed by experts. Data is stored in JPG format, organized by category and collection time.