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AI Innovations for Improving the Food Industry

Pethuru Raj Kai Sheng Kavita Saini S. Koteeswaran

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English
Engineering Science Reference
08 October 2025
AI is rapidly changing the food industry for the better. From precision agriculture to smart supply chain management, AI has enhanced efficiency and decision-making across food systems. As industry embraces digital transformation, AI emerges as a powerful catalyst for driving smarter, safer, and more sustainable food systems. AI Innovations for Improving the Food Industry explores how AI is pioneering new data analytics technology in the food industry. This book describes the evolution of the food industry through these advancements in AI. Covering topics such as agriculture, inventory optimization, and supply chain, this book is an excellent resource for researchers, academicians, data scientists, AI engineers, food industry professionals, executives, and more.
Edited by:   , , ,
Imprint:   Engineering Science Reference
Country of Publication:   United States
Dimensions:   Height: 254mm,  Width: 178mm, 
ISBN:   9798369398852
Pages:   314
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Pethuru Raj , PhD is a chief architect at Reliance Jio Platforms Ltd. (JPL) Bangalore. I previously worked in IBM Global Cloud Centre of Excellence (CoE), Wipro consulting services (WCS), and Robert Bosch Corporate Research (CR). I have gained over 22 years of IT industry experience and eight years of research experience. Finished the CSIR-sponsored PhD degree at Anna University, Chennai, and continued with the UGC-sponsored postdoctoral research in the Department of Computer Science and Automation, Indian Institute of Science (IISc), Bangalore. After that, I was granted two international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities. I am an IEEE and ACM Professional member. I am focusing on some of the emerging technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI) Model Optimization Techniques, Prompt Engineering, large Language Models (LLMs), Efficient, Explainable, and Edge AI, Blockchain, Digital Twins, Cloud-native and edge computing, Green and Generative AI, High-Performance Computing (HPC) and Quantum Computing, Platform Engineering, 5G/6G, etc. Kai Sheng received a B.E.(2000) degree in information engineering from Central South University, China, and a PhD.(2006) in risk engineering from the University of Tsukuba, Japan. Now, he is a professor of the AAIR at Xidian University, China. His recent research interests mainly focus on applying AI technologies to V2X-based automated driving(AD), from collaborating environment sensing, communication algorithms, and motion planning to system security and safety. Kavita Saini is presently working as Professor, School of Computing Science and Engineering, Galgotias University, Delhi NCR, India. She received her PhD degree from Banasthali Vidyapeeth, Banasthali. She has 20 years of teaching and research experience supervising Masters and PhD scholars in emerging technologies. She has published more than 100 research papers in national and international journals and conferences. She has published 20 authored books for UG and PG courses for a number of universities including MD University, Rothak, and Punjab Technical University, Jallandhar with National Publishers. Kavita Saini has edited more than 15 books with International Publishers including Elsevier, IET Publisher, IGI Global and CRC Press, NOVA Science Publisher and published 30 book chapters with International publishers. Under her guidance many M Tech and Ph D scholars are carrying out research work and few have completed under her guidance. Kavita Saini has also delivered technical talks on Blockchain: An Emerging Technology, Web to Deep Web and other emerging Areas and Handled many Special Sessions in International Conferences and Special Issues in International Journals. Her research interests include Smart and Sustainable Agricultural, Blockchain Technology, Industry 5.O, and Cloud and Edge Computing, Digital Twin and Web-Based Instructional Systems (WBIS). Dr. Koteeswaran S , B.Tech., M.E., Ph.D. currently working as Professor and Head in the Department of Computer Science and Engineering (AI and ML), S.A. Engineering College, Chennai-600077, TamilNadu, India. He is having 15 years of teaching experience and published more than 50 research articles in various peer reviewed Journals. He is author for two text books and two edited books for Computer Science & Engineering Programme. His research interests include Artificial Intelligence, Machine Learning, Deep Learning, Big Data and Analytics and Internet of Things. He has presented several papers in conference proceedings. He is a reviewer for more than a dozen journals and also organized more than 25 various events such as National and International Conferences, Faculty Development Programs, Workshops, Seminars, National Level Paper Contests, Quiz programmes, 24 Hours IEEE Xtreme Programming Competition and 36 hours Hachathon. He is a Member of ACM, Member of IAEng, Global Member of ISOC, Member of IEEE CS, Member of IEEE CIS, Member of IEEE PCS, Member of IET, and a Senior Member of IEEE and also a Life Member of ISTE. He serves as Vice Chairman of ACM Chennai Chapter, Treasurer of IEEE Computer Society & Treasurer cum Secretary of IEEE Professional Communication Society, IEEE Madras Section and also served as Executive Committee Member, Chairman – Paper Contest and Vice Chairman – Student Activities Committee of IEEE Madras Section.

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