Artificial Intelligence in the Food Industry (eBook, PDF)

Enhancing Quality and Safety
Redaktion: Zahoor, Insha; Ganaie, Tariq Ahmad; Ahmad Wani, Sajad

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 378
• Erscheinungstermin: 30. Januar 2025
• Englisch
• ISBN-13: 9781040270011
• Artikelnr.: 72679702

Autorenporträt

Dr.Insha Zahoor is an accomplished academic and currently serves as an Assistant Professor in the Department of Food Technology at the Islamic University of Science and Technology (IUST), Awantipora, Kashmir. Previously, she worked as an ICMR Research Associate Fellow at IUST, where she contributed to significant research initiatives. Known for her outstanding academic journey, Dr. Zahoor has consistently excelled, achieving top ranks throughout her studies. She completed her M. Tech and Ph.D. in Post-Harvest Engineering and Technology from Aligarh Muslim University (AMU), Aligarh. Dr. Zahoor was honored with three Gold Medals for securing the highest rank in her master's program at AMU. Her achievements include qualifying for the GATE (Food Technology) and ICAR JRF 2014 with an impressive All India Rank (AIR) of 27. She was also awarded the prestigious INSPIRE Fellowship by the Department of Science and Technology, Govt. of India, to support her doctoral research. Additionally, Dr. Zahoor received the "Maulana Azad National Fellowship" from the University Grants Commission, New Delhi, as well as the "University Merit Financial Award" during her M. Tech at AMU. Her numerous research publications in high-impact journals and conference presentations further highlight her contributions to the field. Dr. Zahoor's journey is a testament to her dedication and excellence in academia and research, earning her a reputation as a scholar with a wealth of accomplishments and honors. Dr. Sajad Ahmad Wani is currently working as Dr. D.S. Kothari Postdoctoral Fellow in the Division of Food Science and Technology at SKUAST, Kashmir. He earned his master's degree in Food Technology from the Islamic University of Science and Technology, Kashmir, India, and his Ph.D. from the Sant Longowal Institute of Engineering and Technology, Punjab, India. He qualified for the National Eligibility Test (NET) conducted by the Indian Council of Agricultural Research (ICAR) in December 2015. Dr. Wani has an impressive academic and research portfolio, having published over 40 research and review articles, 10 books, and many chapters. He regularly contributes to Food & Beverage News, India's first magazine dedicated to the food and beverage industry. His active participation in the academic com-munity is evident through his attendance at 50 national and 20 international conferences, seminars and workshops worldwide. In addition to his research and writing, Dr.Wani is involved in various faculty development pro-grams and serves as the Honorary Associate Editor of the International Journal of Food Science and Technology, published by Wiley. He is a recognized peer reviewer for several esteemed international journals in the field of food science and technology, including those published by Elsevier, Taylor & Francis, Wiley and Springer. Dr. Wani's academic excellence and contributions to the field have been recognized with presti-gious awards, including the Dr. D.S. Kothari Postdoctoral Fellowship and the Maulana Azad National Fellowship (MANF 2013-2014) from the University Grants Commission, New Delhi, India. He is the recipient of the Early Career Research Award from Wiley. Dr. Tariq Ahmad Ganaie is currently working as the Head of the Department of Food Technology, IUST, Kashmir. He has completed his M.Sc. Chemistry in 2001 and M.Tech. (Agriculture Processing and Food Engineering) from Aligarh Muslim University, Aligarh, UP, in 2005. He has completed his Ph.D. (Food Technology) from the University of Kashmir. He has published many research and review papers in various reputed national and international journals with high impact factor. He has organized many national and international conferences, workshops, and symposia. He has delivered many invited talks at national and international conferences, workshops, and symposia. He is also the editorial board member and reviewer of many reputed national and international journals that belong to popular publishing houses such as Elsevier, Springer, Wiley and Taylor & Francis.

Inhaltsangabe

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 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