Towards Greener Nights: Exploring AI-Driven Solutions for Light Pollution Management

• URL: http://arxiv.org/abs/2404.09453v1
• Date: Mon, 15 Apr 2024 04:41:53 GMT
• Title: Towards Greener Nights: Exploring AI-Driven Solutions for Light Pollution Management
• Authors: Paras Varshney, Niral Desai, Uzair Ahmed,
• Abstract summary: We aim to develop predictive models capable of estimating the degree of sky glow observed in various locations and times. Our research seeks to inform evidence-based interventions and promote responsible outdoor lighting practices.
• Score: 1.0650780147044159
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This research endeavors to address the pervasive issue of light pollution through an interdisciplinary approach, leveraging data science and machine learning techniques. By analyzing extensive datasets and research findings, we aim to develop predictive models capable of estimating the degree of sky glow observed in various locations and times. Our research seeks to inform evidence-based interventions and promote responsible outdoor lighting practices to mitigate the adverse impacts of light pollution on ecosystems, energy consumption, and human well-being.

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