AI Applications in Food Processing and Packaging

by Ashutosh Kumar Shukla (Editor)

Overview

Artificial intelligence (AI) is a branch of computer science which uses data to create models. These models learn from data and are used to make predictions. AI tools are being developed to deal with the complexity and variety of data in the food industry. This edited volume highlights the ways in which AI can be applied to optimization and automation in quality control, processing and packaging of food products. It covers a wide range of food products including oils and fats, milk, fish and fishery products.

Filling the gap between literature covering conventional food processing and packaging and current research on AI linked to these areas, initial chapters highlight AI applications including the internet of things (IoT) and big data applications in the food industry. Then coverage details the intelligent integration of many technologies for different applications in the food industry for example non-destructive food quality assessment using digital images assisted by chemometrics, simulations to detect the existence of foreign objects in milk packaging using ultrasonic tomography and AI assisted 3D food printing. New advanced sensing technologies, including electronic noses and tongues, are discussed in detail emphasizing their role in ensuring food product quality and safety.

Product Details

ISBN-13:	9781837674275
Publisher:	RSC
Publication date:	06/27/2025
Pages:	350
Product dimensions:	6.15(w) x 9.20(h) x 0.85(d)

Table of Contents

• Innovations in Food Technology: Intelligent Packaging and Advanced Traceability Solutions
• Artificial Intelligence in Fat and Oil Products: Quality Control and Authentication
• Artificial Intelligence Tools for Processing and Quality Detection of Fish and Fisheries Products
• Big Data in Food Safety and Security Applications and Examples in Food Authenticity, Adulteration and Fraud
• IoT and Big Data in the Food Industry: Future Trends
• Applications of Fuzzy Logic as a Smart Tool for Food Quality Management
• Applications of Artificial Neural Networks (ANNs) in Food Processing Industry
• Digital Images Assisted by Chemometrics to Verify Shelf-life of PANC Leaves
• Ultrasonic Tomography Approach for Detecting Foreign Objects in Milk Packaging: A Simulation Study
• Amalgamation of Nanosensor and AI Technology for Food Safety
• Artificial Intelligence Applications and the Rise of 3D Printers in the Food Industry in the Digitalizing World
• AI Assisted 3D Food Printing Technology: An Overview
• Electronic Nose and Electronic Tongue
• Ionizing Radiation Increasing the Quality of Food Potentially Suitable for AI Perfecting