AI-Driven Green Space Optimization for Sustainable Urban Parks: Enhancing Biodiversity and Resource Efficiency.

Autor: Patil, Vinod, Patil, Jayadip, Kadam, Amol, Patil, Ajit R., Mokashi, Devdatta, Lonare, Girish M.
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Zdroj: Library of Progress-Library Science, Information Technology & Computer; Jul-Dec2024, Vol. 44 Issue 3, p3412-3417, 6p
Abstrakt: The Green Space Optimizer is an innovative computer program leveraging Artificial Intelligence to revolutionise urban park management. This intelligent system acts as a virtual gardener, meticulously curating green spaces for enhanced beauty, sustainability, and biodiversity. The program optimises plant selection, watering schedules, wildlife conservation efforts, and growth maintenance by integrating expert knowledge of plants, real-time environmental data, and predictive analytics. By promoting water conservation, supporting local ecosystems, and ensuring aesthetic appeal, this project aims to create urban sanctuaries that balance the needs of people and nature. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index