The Contribution of Green Technology and Machine Learning Toward Developing Environmental Sustainability

Padilla-Caballero J.; Zubiaur-Alejos M.; Poma-Garcia J.; Poma-García C.; Rojas-Zuñiga L. · Recent Advances in Management and Engineering (2024) · DOI: 10.1201/9781003532026-16

Resumen

At the national level, the creation of environmentally friendly and environmental plans depend heavily on green technologies. Due to the combined constraints of resources and the environment, green technology advancement has been seen to be becoming more and more significant. This study's main goal is to investigate how machine learning and green technology integration might support environmental sustainability efforts. In this study, secondary research using qualitative techniques was the method of choice. The collected and analysed existing research includes academic publications, reports, case studies and reports on how green technology and machine learning contribute to environmental sustainability. The relevance, credibility and dependability of the data are assessed, and significant themes and conclusions are determined by applying qualitative analysis techniques including content analysis and thematic analysis. This study has demonstrated the value of combining machine learning and green technologies to promote environmental sustainability. They emphasise the contribution of green technology to lessening the negative effects on the environment and the benefits of machine learning in decision-making and effective resource management.

Instituciones: Universidad Nacional de Ingeniería; Universidad Nacional del Centro del Perú; Universidad César Vallejo; Universidad Nacional de Educación Enrique Guzmán y Valle