Research on the Strategy of Promoting Rural Tourism Development Through IoT Technology in Rural Revitalization

Rural areas increasingly rely on Internet of Things (IoT) technologies to enhance tourist experiences, optimize resource organization, and ensure the sustainability of tourism operations. However, despite the possibility of these methods, difficulties like insufficient infrastructure, poor data integration, and inadequate tourism strategies prevent rural tourism from reaching its full potential. The research objective is to examine the function of IoT in promoting rural tourism growth, specifically through the optimization of tourism images and the use of deep learning (DL) models for personalized experiences. The data consist of multiple components, including rural tourism images, IoT data (such as sensor data), and tourist-related activities or behavior data. The data are preprocessed using normalization, and principal component analysis (PCA) is employed for dimension reduction. Waterwheel plant optimized intelligent shuffleNet (WPO-IntSNet) helps to recommend particular images based on tourist behavior data. Waterwheel plant optimization (WPO) helps to optimize various criteria, including resource allocation, energy use, and even individualized tourism experiences. The IntSNet was modified to enhance its performance for tasks, such as recognizing images, enhancement, and content recognition in rural tourism images. It would be great for real-time image processing on IoT devices in rural areas. The findings show that IoT-enabled solutions considerably improve resource management, whereas DL algorithms create tourist experiences by assessing preferences and behaviors. The results outperformed the traditional method in terms of accuracy (98.82%), precision (97.9%), recall (96.4%), and F1-score (96.9%). Tourism images developed with DL algorithms are shown to attract more visitors, resulting in increased engagement and satisfaction. Finally, IoT and DL have the potential to alter rural tourism, helping to revitalize rural communities.