Mountain soil characteristics and agrotourism management optimization based on distributed collaboration

This article uses the distributed collaborative neural network process for analysis. It turns out that if there are dishonest participants, they will not get any data. The dishonest participants did not contribute to the training process throughout the training process, but they could get the training results of others. In order to understand the seasonal dynamics of soil organic carbon components and mineralization in different altitudes of alpine shrub meadows, the effects of different mountain soil carbon components on soil organic carbon mineralization were discussed, and the relationship between soil carbon components and soil physical and chemical properties was analyzed. This plays an important role in the development of dynamic changes of soil organic carbon in alpine mountain shrub meadows at different altitudes. In this study, a combination of field investigation and indoor analysis was used. By taking the soil of 3,800 m, 4000 m, and 4200 m semi-shady slope and semi-sun slope as the object of this research, it explored the different heights, seasons, and indoor cultivation conditions. The characteristics of mountain soil carbon minerals under the changing conditions of soil organic carbon pool. In this article, we take leisure agriculture and rural tourism development and management optimization as the research goal of this time, based on the sustainable development theory of leisure agriculture and rural tourism development. Using literature methods and on-site surveys, the research results of domestic and foreign scholars are collected, starting from the concept of leisure agriculture and rural tourism, and using the past experience of domestic and foreign leisure agriculture and leisure rural tourism development to analyze the current domestic and foreign leisure agriculture and the relationship between rural tourism development. © 2021, Saudi Society for Geosciences.