The integrated use of data facilitates users to conduct relevant analysis from massive, complex, and real-time data to achieve comprehensive consideration of governance solutions, which is an inevitable requirement and development trend of ecological construction. The purpose of this paper is to study the nature protection environment and ecological construction based on artificial intelligence and big data analysis. Based on a comprehensive analysis of the practical needs of storage, management, analysis and visualization of massive data in the field of ecological monitoring, the ecological monitoring system is designed and developed based on the Internet of Things (IoT) by combining new generation information technology such as UAV technology and big data technology. A multi-attribute decision model of plant preference is constructed to realize desertification control plants, and the experimental results show that the model effectively promotes the efficient control and sustainable development of desertification in the region.

Shenglan Li. Artificial Intelligence and Big Data Analysis for Nature Conservation Environment and Ecological Construction. Nature Environmental Protection (2022), Vol. 3, Issue 4: 51-59. https://doi.org/10.38007/NEP.2022.030406.

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