Description: Sensing and Artificial Intelligence Solutions for Food Manufacturing, Hardcover by Hefft, Daniel (EDT); Adetunji, Charles Oluwaseun (EDT), ISBN 1032075805, ISBN-13 9781032075808, Brand New, Free shipping in the US This book gives readers a practical introduction into machine learning and sensing techniques, their design and ultimately specific applications that could improve food production. It shows how these sensing and computing systems are suitable for process implementation in food factories. This book starts by giving the reader an overview of the historic structures of food manufacturing standards and how they defined today’s manufacturing. It is followed by a topical introduction for professionals in the food industries in topics such as AI, machine learning, and neural networks. It also includes an explanation of the different sensor systems and their basic principles. It shows how these sensing and computing systems are suitable for process implementation in food factories and what types of sensing systems have already been proven to deliver benefit to the food manufacturing industries. The authors also discuss issues around food safety, labelling, and traceability and how sensing and AI can help to resolve issues. They also use case studies and specific examples that can show the benefit of such technologies compared to current approaches. This book is a practical introduction and handbook for students, food engineers, technologists and process engineers on the benefits and challenges around modern manufacturing systems following Industry approaches.
Price: 139.01 USD
Location: Jessup, Maryland
End Time: 2024-10-30T23:47:58.000Z
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Book Title: Sensing and Artificial Intelligence Solutions for Food Manufactur
Number of Pages: 200 Pages
Publication Name: Sensing and Artificial Intelligence Solutions for Food Manufacturing
Language: English
Publisher: Taylor & Francis Group
Publication Year: 2023
Subject: Machine Theory, Food Science, Electrical, Chemistry / Industrial & Technical
Type: Textbook
Subject Area: Computers, Technology & Engineering, Science
Author: Daniel Ingo Hefft
Item Length: 9.2 in
Item Width: 6.1 in
Format: Hardcover
