Farmland Pesticide Spraying Operation Detection Dataset

The current agricultural industry faces challenges such as low operation efficiency and uneven spraying. Traditional detection methods for pesticide spraying operations often rely on manual observation, making it difficult to achieve efficient monitoring. Existing solutions have shortcomings in data acquisition and real-time analysis, failing to meet the needs of precise management. This dataset aims to provide high-quality pesticide spraying operation detection data to help researchers and developers build more accurate target detection models, improving the efficiency and accuracy of agricultural pesticide spraying operations. Data collection is carried out using high-resolution cameras under different weather and lighting conditions to ensure diversity and representativeness. We conduct multiple rounds of annotation and consistency checks to ensure high-quality and accurate data annotation. The final data is stored in JPG format and organized into a folder structure for easy subsequent processing and use.