Farmland Flood Monitoring Dataset under Extreme Weather

The current agricultural industry faces challenges from extreme climate changes, particularly the severe impacts of heavy rains and flash floods on farmland. Existing monitoring methods often rely on traditional approaches, lacking efficient real-time monitoring solutions, leading to exacerbated agricultural losses. This dataset aims to address the monitoring challenges of climate change impacts on agriculture by collecting images of farmland floods under extreme weather, providing high-quality data support for AI models. Data is collected using drones and high-resolution cameras under various weather conditions to ensure the diversity and representativeness of the images. In terms of quality control, a multi-round annotation and expert review mechanism is applied to ensure the accuracy and consistency of data annotations. Data is stored in JPEG format and organized by time and location for easy subsequent analysis and use.