Apple Tree

Apple tree research currently focuses on optimizing orchard management through automated systems. This involves developing computer vision techniques, employing algorithms like YOLOv5 and gradient boosting, and leveraging machine learning models such as convolutional neural networks and transformers to analyze images and point cloud data from orchards. These advancements aim to improve tasks such as fruitlet thinning, pollination, disease detection, and yield prediction by providing precise, timely information on crop load, fruit size, and plant health. Ultimately, this research strives to enhance efficiency, reduce labor costs, and improve the overall sustainability and profitability of apple production.