Practical Applications of Machine Learning and Artificial Intelligence in the Food Industry - Softcover

Softcover

ISBN 10: 0443289263 ISBN 13: 9780443289262

Publisher: Academic Press, 2027

Synopsis

Practical Applications of Machine Learning and Artificial Intelligence in the Food Industry provides a comprehensive overview of the applications of machine learning and artificial intelligence in the food industry. The book covers a wide range of topics including food safety, quality control, sustainability, personalized nutrition, and supply chain optimization. It also discusses various machine-learning techniques and provides examples of successful implementations in the industry.

The book is divided into six sections, the introductory section sets the stage by detailing key machine learning and artificial intelligence concepts, and their relevancy to the food industry. The second section addresses data collection and predictive analysis, featuring chapters on predictive maintenance, yield optimization, and consumer behaviour analytics. The third section focuses on food safety and quality control, detailing how machine learning can be deployed for tasks such as food fraud detection, predictive microbiology, and quality control enhancements. Section four further explores how these technologies can help in food texture, flavour, and shelf-life predictions. The fifth section presents an in-depth exploration of supply chain optimization and traceability, discussing the role of AI and machine learning in areas like real-time food safety monitoring, product authenticity assurance, and big data for food traceability. The final section highlights the application of these technologies in creating personalized nutrition strategies and promoting sustainable agricultural practices. Each section includes real-world examples of successful implementations, reinforcing the practicality of these applications.

Practical Applications of Machine Learning and Artificial Intelligence in the Food Industry serves as an ultimate practical guide for implementing machine learning and artificial intelligence in the food industry and provides readers with valuable insights into emerging technologies in the field.

• Covers an overview of machine learning and AI in the food industry
• Brings real-world case studies and examples from leading experts in the field
• Offers in-depth analysis of food safety, quality control, and sustainability with machine learning
• Provides detailed discussion of data management, predictive analytics, and personalized nutrition

About this title

About the Authors

Dr. Amit K. Jaiswal is an esteemed academic and researcher currently serving as a Lecturer at the School of Food Science and Environmental Health, Technological University Dublin (TU Dublin)―City Campus, Ireland. Recognised globally for his scholarly contributions, Dr Jaiswal has been recognised among the top 1% of the world’s most cited academics in 2023 and 2024 by Clarivate Analytics, a distinction given to researchers who have demonstrated exceptional influence in their fields over the past decade. In addition, Stanford University has listed him among the top 2% of scientists worldwide for four consecutive years (2021–24). Dr Jaiswal’s research focuses on converting lignocellulosic biomass and algae (micro- and macroalgae) into biofuels, biomaterials, and biochemicals through innovative process development, techno-economic analysis, and life cycle assessment. He brings extensive expertise in bio-based materials, such as lignin and microcellulose/nanocellulose, and their applications in sustainable food packaging, water purification, and adhesives. His proficiency in green extraction techniques, including deep eutectic solvents (DES) and ultrasound-assisted processes, enables the valorisation of agri-food biomass into high-value products. With more than 125 peer-reviewed publications, 50 book chapters, and five edited books, Dr. Jaiswal’s contributions to scientific literature have significantly impacted food science and biotechnology. His work has received over 10,000 citations, with an h-index exceeding 50. He also serves on the editorial boards of key international journals, including Food Quality and Safety (Oxford University Press), Foods, Biomass (MDPI) and JSFA Reports (Wiley).

Dr. Abhishek Kaushik works as an Assistant Lecturer at Dundalk Institute of Technology (DkIT). He was also a Postdoctoral Researcher in Ceadar UCD in 2022. Dr. Kaushik obtained his Ph.D. in Artificial Intelligence (AI) and Information Retrieval (IR) from Adapt Centre, Dublin City University (DCU) in 2021. Dr. Kaushik completed his master’s degree in Information Technology from Fachhochschule Kiel, Germany in 2016. During his time in Germany, he was actively involved in developing AI algorithms for a multinational company Siemens. Dr. Kaushik holds bachelor’s degree in Computer Science Engineering from Kurukshetra University (2012), India. He is a subject matter expert on Human Computer Interaction, Machine Learning, AI, Natural Language Processing, Block chain and Smart farming. He has published more than 40 papers (journal and conference) in the areas of Conversational Search, Human Computer Interaction, Sentiment Analysis and Smart Technologies.

Dr. Swarna Jaiswal is a lecturer in applied microbiology and food packaging technology at Technological University Dublin (TU Dublin), City Campus, Ireland. She earned her PhD in 2012 from TU Dublin and an executive MBA in 2015, equipping her with a strong blend of scientific expertise and strategic leadership. Following her PhD, she worked as a research scientist at the Centre for Research in Engineering Surface Technology (CREST), TU Dublin, for five years, where she played a pivotal role in advancing applied research for industrial applications. She is the Director of the Centre for Sustainable Packaging & Bioproducts (CSPB) at TU Dublin, leading innovative research in biodegradable packaging solutions, antimicrobial coatings, and nanocomposite biomaterials. Dr. Swarna’s research is deeply rooted in industry collaboration, working closely with SMEs and multinational corporations across Ireland and the UK to develop cutting-edge sustainable packaging technologies. Her expertise extends to applied microbiological coatings and active packaging films, driving impactful advancements in food safety, shelf-life extension, and eco-friendly material alternatives. She has authored over 100 publications, including peer-reviewed journal articles and book chapters, with an h-index of 34 and over 5,500 citations. She serves on the editorial board of leading international journals, including Coatings (MDPI), and has presented her work at numerous prestigious national and international conferences. With a strong record of academic excellence, industry engagement, and leadership in sustainable materials research, Dr. Swarna is driving impactful innovations at the intersection of science and sustainability, shaping the future of environmentally responsible packaging solutions.

Edition details

• Publisher: Academic Press
• Publication date: 2027
• Language: English
• ISBN 10: 0443289263
• ISBN 13: 9780443289262
• Binding: Paperback
• Edition number: 1
• Number of pages: 384
• Editor: Jaiswal PhD Amit K., Kaushik PhD Abhishek, Jaiswal PhD Swarna