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

arXiv:2404.09453v1 Announce Type: new
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 …

abstract aim arxiv cs.lg data data science datasets issue leveraging data light machine machine learning machine learning techniques management pollution predictive predictive models research science solutions through type