Artificial Intelligence In The Food Industry (enhancing Quality And Safety)

Description

Edited by Zahoor, Insha; Edited by Ahmad Wani, Sajad; Edited by Ganaie, Tariq Ahmad

Short /annotation:

This book explores the transformative potential of AI, machine learning (ML), and deep learning (DL) algorithms in revolutionizing the food industry. By overcoming the limitations of human involvement, AI ensures a more reliable demand-supply chain and enhances food safety.

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In this changing world of food processing and handling, efficiency and safety are paramount.
Artificial Intelligence in the Food Industry: Enhancing Quality and Safety offers a groundbreaking exploration of how artificial intelligence (AI) technologies can address these critical needs. This book explores the transformative potential of AI, machine learning (ML), and deep learning (DL) algorithms in revolutionizing the food industry. By overcoming the limitations of human involvement, AI ensures a more reliable demand-supply chain and enhances food safety.

As the global population grows and food consumption reaches unprecedented levels, the demand for innovative solutions is urgent. This book demonstrates how intelligent systems can accurately assess food quality, implement control mechanisms, categorize foods, and conduct predictive analyses. Such advancements are reshaping sectors, including dairy, bakery, beverages, and fruits and vegetables, making this an indispensable guide for food production and safety professionals.

It explores several cutting-edge topics such as the role of ML and computer vision in the agri-food industry, the potential of 3D printing, and the integration of AI with sensory technologies like electronic noses, electronic tongues, and near-infrared spectroscopy. These insights highlight how AI can significantly enhance food quality and productivity, benefiting both consumers and industry players.

Artificial Intelligence in the Food Industry not only showcases current advancements but also emphasizes the need for ongoing research and innovation. By inviting readers to explore AI’s transformative potential in food production and service, this book ensures a safer, more efficient, and sustainable future for the food industry.

A vital resource for researchers, scientists, and professionals in the food industry, this book presents comprehensive information on ML techniques to improve food quality, AI applications in pesticide management, food inspection, grading using image processing, and the use of robots for food safety and warehouse management.

Table of contents:

Chapter 1

Artificial Intelligence in the Food Industry: A Sustainable Approach

Nur Alim Bahmid and Tri Hadi Jatmiko

Chapter 2

Application of Machine Learning in the Food Industry

Qazi Sugra Altaf and Rihab Ksouri

Chapter 3

Role of Machine Learning and Computer Vision in the Agri-Food Industry

Iqra, Kaisar Javeed Giri, Bisma Ashraf Wani, Danish Nazir Raja, and Farhana Mehraj

Chapter 4

Shelf-life Prediction by Time-Delayed Neural Network (TDNN)

Hamid, Imdadul Hoque Mondal, Himanshu Bana, and Navjot Kaur

Chapter 5

Artificial Intelligence in Dairy Sector

Bharti Mittu and Neha

Chapter 6

Artificial Intelligence in Beverages

Wani Suhana Ayoub, Ruqaya Tariq, Salma Farooq, and Insha Zahoor

Chapter 7

Artificial Intelligence in Cutting and Sorting of Fruits and Vegetables

Ruqaya Tariq, Iqra Qureshi, Salma Farooq, Wani Suhana Ayoub, Shazia Akhter, Rifat Javaid, and Aisha Sultana

Chapter 8

Revolutionizing Bakeries with Artificial Intelligence: A Sweet Blend of Innovation

Anam Aijaz

Chapter 9

Artificial Intelligence in Restaurant

Novsheena Rasool and Javaid Iq