Artificial Intelligence and Food Science - Softcover

Softcover

ISBN 10: 0443364427 ISBN 13: 9780443364426

Verlag: Academic Press, 2026

Inhaltsangabe

Artificial Intelligence and Food Science examines a range of applications from pre- and post-harvest management to food packaging and the dairy industry, providing a thorough overview of how AI is revolutionizing these industries. The book's initial chapters introduce the fundamentals of AI and its recent advancements, covering key areas such as Constraint Satisfaction Problems, Adversarial Search, and Statistical Learning Theory. The book then moves on to explore AI applications in pre- and post-harvest management while also highlighting techniques such as machine vision and spectral imaging for non-destructive analysis of agricultural products.

The role of AI in the fat and oil processing industry, specifically the use of bioinformatics predictive methods based on artificial neural network (ANN) is discussed in detail. Subsequent chapters probe the use of AI in the processing of fruits, vegetables, dairy, and meat, and detail how technologies like neural networks and Industry 4.0 innovations can drive improvements in product quality. Later chapters explore AI applications in the baking and confectionery industries, with a focus on automation and 3D printing technologies that are setting new standards for production and product design.

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Über die Autorinnen und Autoren

Rana Muhammad Aadil is an Associate Professor at University of Agriculture, Faisalabad, a top-ranking university in Pakistan. His current research focuses on nonthermal processing methods for fruits and vegetables (sonication, thermosonication, pulsed electric field, and high-pressure processing). He is also ‎working on the waste utilization of different fruits and ‎ vegetable fruits by products. During his career, he published more than 300 articles and chapters in journals with high impact factors. He is an associate editor of Measurement: Food and Editorial Board Member of Food Chemistry, Food Chemistry: X, and Legume Sciences.

Dr. Gholamreza Abdi holds a PhD in medicinal, aromatic, and spice plant breeding and physiology from the Department of Agricultural Botany, Biotechnology Centre at the University of Tehran, Iran. He currently works as an assistant scientist at the Department of Biotechnology at Persian Gulf University, Iran. He has previously published research in the fields of food science, DNA profiling methodology for plant molecular systematics, gene expression, plant metabolites, phytochemistry, nanotechnology, and algal culture. His current research interests include food science, plant physiology, Marker Assisted Selection in plants, and the study of genomics and post-genomics.

Dr. Hasan has a bachelor’s and master’s in food technology from the University of Agriculture, Faisalabad, Pakistan. During his studies, he actively participated in research activities including analysis of food products, organizing the research data, planning of research projects, and publishing journal articles and conference abstracts. His main research areas are food sustainability, food waste valorization, food processing, and the development of functional foods. He is highly interested in learning and implementation of artificial intelligence techniques.

Waqar Ahmed is a Ph.D. Scholar, Research Associate, and Food Technologist at the prestigious National Institute of Food Science and Technology, University of Agriculture, Faisalabad. His research involves cutting-edge research, innovative food technology applications with specialty in lipids, nano-particles and edible fats and oils and collaboration within a dynamic academic environment.

Von der hinteren Coverseite

Artificial Intelligence and Food Science is a wide-ranging and timely textbook that explores the impact of AI and smart technologies on the food industry. It examines a range of applications from pre- and post-harvest management to food packaging, and the dairy industry, providing a thorough overview of how AI is revolutionizing these industries. By addressing the pressing need for innovation and efficiency, this book offers valuable insights into the integration of AI for enhancing food quality, safety, and sustainability across different food industries. The initial chapters introduce the fundamentals of AI and its recent advancements, covering key areas such as Constraint Satisfaction Problems, Adversarial Search, and Statistical Learning Theory. The book then moves on to explore AI applications in pre- and post-harvest management and highlights techniques such as machine vision and spectral imaging for non-destructive analysis of agricultural products. Subsequent chapters probe the use of AI in the processing of fruits, vegetables, dairy, and meat, and detail how technologies like neural networks and Industry 4.0 innovations can drive improvements in product quality. The role of AI in the fat and oil processing industry, specifically the use of bioinformatics predictive methods based on artificial neural network (ANN) is discussed in detail. Later chapters explore AI applications in the baking and confectionery industries, with a focus on automation and 3D printing technologies that are setting new standards for production and product design. This textbook is an essential resource for upper-level undergraduate students in food science, agricultural engineering, and related disciplines. It is also useful for researchers and professionals working in food technology, agricultural automation, and environmental consulting. Artificial Intelligence and Food Science contains PowerPoint slides, and a test bank as additional resources for students and instructors.

Details zur Ausgabe

• Verlag: Academic Press
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 0443364427
• ISBN 13: 9780443364426
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 376
• Herausgeber: Aadil Associate Professor Rana Muhammad, Abdi Gholamreza, Hassan Syed Ali, Ahmed Waqar
• Kontakt zum Hersteller: Academic Press; https://shop.elsevier.com/; ; 230 PARK AVENUE, SUITE 800; NY; NY; 10169; USA
• Verantwortliche Person: eVatmaster Consulting GmbH; 497000000000; contact@evatmaster.com; ; Bettinastr. 30,60325; Frankfurt am Main; 60325; Deutschland