Orchard Land Use Monitoring Dataset

The current agricultural sector faces significant challenges in land resource management and crop monitoring. Traditional methods are inefficient and insufficiently precise in understanding land use. Existing monitoring technologies lack real-time capability and accuracy, unable to meet the demands of agricultural production decision-making. This dataset aims to assist researchers and developers in creating more effective object detection models by providing high-quality orchard land use monitoring image data, thereby enhancing the level of intelligence in agricultural management. The dataset includes images of various orchard scenarios collected under different times and weather conditions using drones and high-resolution cameras, ensuring data diversity and representativeness. During data processing, multiple rounds of annotation and consistency checks were performed as quality control measures, and agricultural experts were invited to review to ensure the accuracy and reliability of the annotations. Data is stored in JPG format, organized such that each image file corresponds to an annotation file, providing a convenient way of access.