Intelligent Control Technology in Rural Landscape Environment Design

Traditional rural landscape environment design is often based on static concepts, ignoring the dynamic changes of the environment. This makes it difficult for designs to cope with constantly changing climate, human flow, and ecological conditions. This article utilizes intelligent control technology to achieve dynamic design of rural landscape environment, adapting to changes in seasons, weather, and pedestrian flow, and providing more intelligent, sustainable, and user-friendly solutions for rural landscape environment design. It collects data information related to rural landscape environment through sensors and preprocesses the collected data. The experimental results show that the average accuracy of LSTM model for climate and human flow prediction is 95.3 % and 93.2%, respectively. Therefore, using LSTM can accurately predict the rural environment and improve the user's experience of rural landscape environment design.