A dataset of anther dehiscence and pollen dispersal phenotypic atlas for Fuji apples in Suizhong, Liaoning: ABP51

<p indent="0mm">The cross-pollination process between different apple varieties is crucial for enhancing the fertilization and fruit set of apples flowers. The pollen dispersal state of the pollinator trees directly affects the pollination process of the apple flowers. Therefore, characterizing and observing the pollen dispersal state of apple flowers holds great significance in biological science and production practice. Additionally, apple pollen serves as food for many insects, playing an important role in maintaining ecological balance. To advance the development of modern smart orchards, it is essential to systematically monitor the pollen dispersal status of apple flowers during the full-blossom period. This study establishes a dataset of Fuji apple pollen dispersal in real-world environments through on-site image capture and enhancement processing, aimed at the classification of pollen-dispersed Fuji apple flowers during the full-blossom period. The dataset comprises 2,460 raw images of Fuji apple flowers during peak flowering and 8,490 augmented images, categorized into dispersed and undispersed flowers, with a total size of 38.68 GB. These images were captured and meticulously curated by researchers at the Poshandong Apple Production Base in Yangjia Village, Xidianzi Town, Suizhong County, and they have been rigorously selected to ensure quality. Moreover, the dataset has been validated with common deep learning models to ensure its usability and reliability. This dataset provides reliable foundational data for multi-disciplinary research on Fuji apple pollen-dispersed flowers, filling the gap in existing datasets that lack physiological and morphological data on apple flower pollen dispersal. It offers a new perspective for studying the apple pollen physiological characterization and holds great potential for applications in smart agriculture, ecological monitoring, and orchard management.