Farmland Irrigation Equipment Detection Dataset

The current agricultural field faces challenges such as low equipment management efficiency and frequent irrigation system failures. Traditional manual monitoring methods are time-consuming and prone to errors. Existing solutions often rely on experiential judgment and lack systematic data analysis support, leading to resource waste and yield reduction. To address these issues, this dataset aims to provide high-quality detection data for farmland irrigation equipment to aid in the development and application of intelligent monitoring systems. Data collection uses high-resolution cameras to capture irrigation equipment under various weather conditions, ensuring data diversity and authenticity. Through multiple rounds of annotation and expert review, we ensure annotation accuracy and consistency. Data is stored in JPG format with a clear organizational structure, facilitating subsequent processing and analysis.