| ISBN13: | 9781032613147 |
| ISBN10: | 1032613149 |
| Kötéstípus: | Keménykötés |
| Terjedelem: | 376 oldal |
| Méret: | 254x178 mm |
| Nyelv: | angol |
| Illusztrációk: | 74 Illustrations, black & white; 11 Halftones, black & white; 63 Line drawings, black & white; 11 Tables, black & white |
| 700 |
Artificial Intelligence in the Food Industry
GBP 180.00
Kattintson ide a feliratkozáshoz
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.
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.
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, Insha Zahoor, and Nadira Anjum
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 Iqbal Bhat
Chapter 10
Artificial Intelligence in Three-Dimensional (3D) Printing
Iqra Qureshi, Ruqaya Tariq, Mehvish Habib, and Syed Insha
Chapter 11
Artificial Intelligence for Improving Food Quality
Danish Nazir Raja, Kaisar Javeed Giri, Farhana Mehraj, and Iqra
Chapter 12
Machine Learning Techniques for Increasing the Productivity of High-Quality Food Products
Rafia Amin and Shazia Amin
Chapter 13
Use of Pesticide Management Using AI
Bharti Mittu, Anjali Chaturvedi, and Mahendra Singh
Chapter 14
Integrating AI with Electronic Tongue (E-Tongue) for Real-Time Detection in the Food Industry
Upasana Yadav, Srishti Khurana, Kriti Rawal, Bindvi Arora, and Aarti Yadav
Chapter 15
Integrating AI with Machine Learning (ML) for Real-Time Detection in Food Industry
Monika Choudhary and Prabhdeep Kaur
Chapter 16
Integrating AI with Near-Infrared Spectroscopy (NIRS) for Real-Time Industry
Bharti Mittu, Renu Sharma, Mahendra Singh, and Neha
Chapter 17
CNN in Food Industry: Current Practices and Future Trends
Asifa Nazir, Ahsan Hussain, and Assif Assad
