Farmland Flood Disaster Identification Dataset

The current agricultural industry faces frequent flood disasters due to climate change, which severely affects farmland production, leading to reduced crop yields and economic losses for farmers. Existing monitoring methods usually rely on manual inspection, which is inefficient and difficult to provide real-time feedback. To better address this challenge, this dataset aims to provide a farmland image dataset with different levels of flood impact to support AI models in automatic identification and analysis. Data collection is conducted using high-resolution cameras at different times and locations, ensuring coverage of various flood situations. For data quality control, multiple rounds of annotation and expert review ensure annotation consistency and accuracy. The data storage format is JPG, organized by time and location, facilitating subsequent analysis and application.