Intelligent Systems for Remote Sensing and Environmental Monitoring in Industry 6.0: Advances and Challenges for Sustainable Development

Harnessing AI-Driven Remote Sensing for Sustainable Industry 6.0: Innovations, Challenges, and Pathways to Mitigate Environmental Degradation

Author(s): Ushaa Eswaran*, Vishal Eswaran, Wan Mazlina Wan Mohamed, Vivek Eswaran and Keerthna Murali

Pp: 122-150 (29)

DOI: 10.2174/9798898812461126050006

* (Excluding Mailing and Handling)

Abstract

The term Industrial Processes Industry 6.0 refers to a revolutionary approach to industrial processes that can be produced from the convergence of remote sensing technology and Artificial Intelligence (AI). This chapter explores the revolutionary possibility of AI-driven remote sensing to further sustainable economic development and respond to urgent environmental issues by systematically integrating advanced sensing capabilities with AI algorithms. These technologies work together synergistically, enabling efficient resource management, predictable maintenance, and proactive environmental protection measures. This research focuses on the recent advancements in AI-based remote sensing, its applications across the industrial sectors, and its application in encouraging sustainability. It dwells on issues of data privacy, technological constraints, and standardized practices in the implementation of these technologies. It also discusses possible mitigation activities to overcome these difficulties and maximize the benefits of AI-driven remote sensing in a commercial context. This chapter provides an overview of practical implications and prospects by analysing the case and experimental studies. The results elucidate the importance of AI-powered remote sensing for realizing sustainable industrial development and reducing ecological damage. This paper brings insight into the views of scholars, industrial strategists, and government policymakers in the quest for striking a balance between being good stewards of the environment and achieving technological advancement. This study contributes to the increasingly growing body of literature on Industry 6.0.


Keywords: Artificial intelligence, Environmental degradation, Environmental monitoring, Industry 6.0, Industrial innovation, Predictive maintenance, Remote sensing, Resource management, Smart manufacturing, Sustainability.