Research on the Construction of Intelligent System of Landscape in Science and Innovation Park of Smart City - Based on the Concept of Smart Garden Design

Abstract

With the advancement of urbanization in China, there is a growing demand for intelligent landscape management in urban science and innovation parks. To improve landscape management efficiency in science and technology innovation parks, this study adjusted the Inception module and activation function of the GoogLeNet algorithm, designed an improved GoogLeNet algorithm, and based on this, constructed a multi clue science and technology innovation park landscape vegetation intelligent recognition system. This is also the main contribution of this study. The experimental results show that the average image recognition accuracy of the “Improve GoogLe Net+MM” model designed from the study is 92.95%, which is higher than all the comparison models. Additionally, the computation time is significantly lower than the comparison models when the computation data volume is larger. The model designed in this study has a certain application value to improve the performance of the landscape intelligent management system within smart cities’ science and technology parks.