Article: Using artificial intelligence based models for strategy design of rural landscape Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.23 pp.40 - 55 Abstract: The integration of artificial intelligence (AI) in the design of rural landscape strategies is transforming traditional practices of sustainable development and spatial planning. This research paper thoroughly analyses how AI-based models - such as machine learning algorithms, geographic information systems (GIS), and deep learning techniques - facilitate decision-making in rural land-use planning, environmental conservation, and resource management. These technologies are increasingly employed to analyse large datasets, predict land-use changes, and optimise strategic interventions. AI fosters more efficient and adaptive planning by handling complex policy decisions with data-driven insights. The study evaluates the effectiveness, challenges, and future possibilities of AI-based systems, emphasising outcomes such as environmental stability, community well-being, and drought mitigation. A collaborative approach involving AI experts, environmental planners, and policymakers is essential for ethically and contextually relevant implementation. Inderscience Publishers - linking academia, business and industry through research

Title: Using artificial intelligence based models for strategy design of rural landscape

Authors: Xintong Li; Yixuan Tang; Juan Hou

Addresses: School of Architecture, Xi'an University of Architecture and Technology Huaqing College, Xian Shanxi, 710043, China ' School of Art, Xi'an University of Architecture and Technology Huaqing College, Xian Shanxi, 710043, China ' School of Architecture, Xi'an University of Architecture and Technology Huaqing College, Xian Shanxi, 710043, China

Abstract: The integration of artificial intelligence (AI) in the design of rural landscape strategies is transforming traditional practices of sustainable development and spatial planning. This research paper thoroughly analyses how AI-based models - such as machine learning algorithms, geographic information systems (GIS), and deep learning techniques - facilitate decision-making in rural land-use planning, environmental conservation, and resource management. These technologies are increasingly employed to analyse large datasets, predict land-use changes, and optimise strategic interventions. AI fosters more efficient and adaptive planning by handling complex policy decisions with data-driven insights. The study evaluates the effectiveness, challenges, and future possibilities of AI-based systems, emphasising outcomes such as environmental stability, community well-being, and drought mitigation. A collaborative approach involving AI experts, environmental planners, and policymakers is essential for ethically and contextually relevant implementation.

Keywords: artificial intelligence; rural landscape; strategy design; machine learning; sustainable planning; geographic information systems; GIS.

DOI: 10.1504/IJICT.2025.147126

International Journal of Information and Communication Technology, 2025 Vol.26 No.23, pp.40 - 55

Received: 17 Mar 2025
Accepted: 25 Apr 2025
Published online: 10 Jul 2025 *

Title: Using artificial intelligence based models for strategy design of rural landscape

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