Farmland Surface Change Detection Dataset

The current agricultural sector faces environmental issues such as climate change and drought, which have severely impacted crop growth and yields. Existing monitoring methods often rely on manual inspections, which are inefficient and difficult to cover large areas. To improve monitoring accuracy and timeliness, this dataset aims to provide diverse farmland surface imagery data, allowing AI technologies to better identify and analyze surface environmental changes. The dataset includes images from different seasons and drought levels, providing decision support for agricultural managers. Data collection is conducted using high-resolution cameras in various fields and climate conditions to ensure diversity coverage. For quality control, the data undergoes multiple rounds of annotation and expert review to ensure consistency and accuracy. The data is stored in JPG format, with a clear organizational structure for subsequent analysis and processing.