Farmland Flood Impact Assessment Dataset

Currently, the agricultural industry faces serious impacts on crops due to frequent floods, leading to increasing losses for farmers. Existing assessment methods largely depend on manual surveys, which are inefficient and prone to errors. This dataset aims to provide a standardized basis by annotating different water levels, flooded areas, and crop damage levels, supporting AI-assisted agricultural disaster loss assessment. Data collection uses a combination of drone aerial photography and ground field surveys to ensure diversity and representativeness. Quality control measures include multiple rounds of annotations, expert reviews, and consistency checks to ensure annotation accuracy. Data is stored in JPEG format, with each image accompanied by corresponding annotation information, facilitating subsequent training and analysis.