Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s12517-021-08066-3 |
Windbreak and sand fixation of sand plants based on intelligent image processing and plant landscape design | |
Chen, Hu; Chu, Xiaohui; Jia, Qi | |
通讯作者 | Chen, H (corresponding author), Zhengzhou Univ Light Ind, Sch Art & Design, Zhengzhou 450002, Henan, Peoples R China. |
来源期刊 | ARABIAN JOURNAL OF GEOSCIENCES
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ISSN | 1866-7511 |
EISSN | 1866-7538 |
出版年 | 2021 |
卷号 | 14期号:17 |
英文摘要 | Considering the problem of wind prevention and sand fixation, this paper proposes a convolutional neural network based on sand plants for wind prevention and sand fixation, and introduces Adam algorithm and stripping technology for improving convolutional neural network. Taking the four characteristic parameters of gray average, gray dispersion, energy, and entropy as the input value, and the experimental value of sand plants as the output value, the experimental study of sand plants for wind prevention and sand fixation was carried out according to the experimental sample points after learning and training. The popularization and cultivation of JUNCAO has become one of the research hotspots in recent years. Planting giant JUNCAO on sandy land can not only provide high quality feed, but also prevent wind and fix sand. This is of great benefit to the regional economy, society, and ecosystem, and has broad research prospects. In this paper, by comparing the growth characteristics of JUNCAO in desert area, the transport characteristics of wind sand and the potential ability of wind prevention and sand fixation reflected by the distribution of JUNCAO with different composition were analyzed. Finally, this paper summarizes the concept, development process, design principles, and design elements of botanical garden and sandy botanical garden, summarizes the common use methods and application prospects of psammophytes in northern China, and then summarizes the relevant theoretical strategies by combining the cultural factors extracted and refined, as well as the analysis of classic cases of botanical garden and sandy botanical garden at home and abroad, put forward the ideology and design principle of sand botanical garden design. |
英文关键词 | Image recognition Sand plants Windbreak and sand fixation Landscape design |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000686628600001 |
WOS关键词 | GLOBAL SOLAR-RADIATION ; EMPIRICAL-MODELS |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/362564 |
作者单位 | [Chen, Hu; Chu, Xiaohui; Jia, Qi] Zhengzhou Univ Light Ind, Sch Art & Design, Zhengzhou 450002, Henan, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, Hu,Chu, Xiaohui,Jia, Qi. Windbreak and sand fixation of sand plants based on intelligent image processing and plant landscape design[J],2021,14(17). |
APA | Chen, Hu,Chu, Xiaohui,&Jia, Qi.(2021).Windbreak and sand fixation of sand plants based on intelligent image processing and plant landscape design.ARABIAN JOURNAL OF GEOSCIENCES,14(17). |
MLA | Chen, Hu,et al."Windbreak and sand fixation of sand plants based on intelligent image processing and plant landscape design".ARABIAN JOURNAL OF GEOSCIENCES 14.17(2021). |
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