The loss rate of coastal soil based on abnormal track detection and the development of agricultural tourism economy

Abstract

With the rapid development of wireless sensor networks, digital communication technology, and positioning technology and the large-scale application of mobile terminal equipment, people’s geographical location information in daily life becomes easy to obtain. Therefore, it also provides strong support for trajectory data mining. Track anomaly detection is an important field in the field of track data mining, which can determine whether the moving object deviates from the normal track or whether a sudden action occurs. If we can detect the abnormal trajectory of moving objects and analyze the causes of the abnormal, we cannot only avoid similar problems through reasonable decision making in the future, but also contribute to the study of coastal soil loss. Soil erosion affects the ecological environment and people’s production and life. Serious soil erosion will destroy arable land, increase sediment deposition, and affect the water environment and water security. The spatial distribution and evolution of soil erosion are restricted by many factors. Using a soil erosion model to analyze soil erosion factors and soil erosion process can provide the theoretical basis for formulating soil and water conservation measures. In addition, the study of coastal soil loss is helpful to the development of ecological agriculture, and the development of ecological agriculture has a very important impact on the development of the agricultural economy. Ecological agriculture can promote the structural adjustment of agricultural industrialization, promote the development of China’s agriculture, increase the economic income of agricultural workers, and promote the development of ecological landscape agriculture and leisure tourism.