AI-Driven Construction and Application of Gardens: Optimizing Design and Sustainability with Machine Learning

LZUFE-KMS > 金融学院

	AI-Driven Construction and Application of Gardens: Optimizing Design and Sustainability with Machine Learning
	Wang, Jingyi 1; Song, Yan 2; Yang, Haozhong 3; Li, Han4 ; Zhou, Minglan 5
	2025-02
发表期刊	INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS
卷号	16 期号:2 页码:1231-1239
摘要	Artificial intelligence (AI) integration into environmental analysis has revolutionized various fields. Including the construction and application of gardens, by enabling precise classification and decision-making for sustainable practices. This paper presents a strong AI-driven framework uses convolutional neural network (CNN) and pretrained models like VGG16 and InceptionV3 to classify eight distinct environmental classes. The CNN achieved superior performance Among the tested models and reaching an impressive 98% accuracy with optimized batch sizes. This demonstrate its effectiveness for precise environmental condition classification. This work highlights the crucial role of AI in advancing the construction and application of gardens. It offers insights into optimizing garden design through accurate environmental data analysis. The diverse dataset used ensures the framework's adaptability to real-world applications, making it a valuable resource for sustainable development and eco-friendly design strategies. This paper not only contributes to the field of AI-driven environmental analysis but also provides a foundation for future innovations in garden management and sustainability, paving the way for intelligent solutions in the evolving landscape of ecological design.
关键词	Artificial intelligence machine learning construction and application of garden design convolutional neural network VGG16 InceptionV3
收录类别	ESCI
ISSN	2158-107X
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Theory & Methods
WOS记录号	WOS:001441761400001
出版者	SCIENCE & INFORMATION SAI ORGANIZATION LTD
原始文献类型	Article
EISSN	2156-5570
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/38929
专题	金融学院
通讯作者	Wang, Jingyi
作者单位	1.Xian Univ Architecture & Technol, Sch Architecture, Xian 710055, Peoples R China; 2.Survey Inst Shaanxi Land Engn Construct Grp, Xian 710065, Peoples R China; 3.CSCES AECOM CONSULTANTS CO LTD, Lanzhou 730000, Peoples R China; 4.Univ Sains Malaysia, Sch Housing Bldg & Planning, Gelugor 11800, Penang, Malaysia; 5.Lanzhou Univ Finance & Econ, Sch Art, Lanzhou, Peoples R China
推荐引用方式 GB/T 7714	Wang, Jingyi,Song, Yan,Yang, Haozhong,et al. AI-Driven Construction and Application of Gardens: Optimizing Design and Sustainability with Machine Learning[J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS,2025,16(2):1231-1239.
APA	Wang, Jingyi,Song, Yan,Yang, Haozhong,Li, Han,&Zhou, Minglan.(2025).AI-Driven Construction and Application of Gardens: Optimizing Design and Sustainability with Machine Learning.INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS,16(2),1231-1239.
MLA	Wang, Jingyi,et al."AI-Driven Construction and Application of Gardens: Optimizing Design and Sustainability with Machine Learning".INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 16.2(2025):1231-1239.