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Industrial Revolution 4.0 With a Focus on Food-Energy-Water Sectors
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Author(s): Abichal Ghosh (Birla Institute of Technology, Pilani, India), Reddi Kamesh (CSIR-Indian Institute of Chemical Technology, India), Siddhartha Moulik (CSIR-Indian Institute of Chemical Technology, India)and Anirban Roy (Birla Institute of Technology, Pilani, India)
Copyright: 2023
Pages: 12
Source title:
Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch131
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Abstract
In this article, the authors explore how sustainable goals can be achieved with artificial intelligence (AI) and machine learning (ML) with a focus on food, energy, and water sectors. This article explores the possibilities of intervention in the above three sectors by exploring the production, processing, storage, and distribution. The challenge lies in the rapid screening of materials, processes, optimized usage of resources, minimization of wastage, and availability of the same to the users. All these challenges can be achieved by AI-ML interventions in the food, energy, and water sectors and can be an expected norm during this Industrial Revolution 4.0 era. From recent reported studies, it is clear that for achieving sustainable goals in the food, energy, and water sectors application of AI-ML methods plays a critical role in modelling, prediction, design, optimization, monitoring, and control of processes in the above sectors. In this article, the authors focus on all these techniques for better understanding and reaching sustainable goals across the three sectors.
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