Sensing and artificial Intelligence solutions for food manufacturing / edited by Daniel Hefft and Charles Oluwaseun Adetunji.

Other author Hefft, Daniel.
Other author Adetunji, Charles Oluwaseun.
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton, FL : CRC Press, 2023.
Descriptionpages cm
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

Abstract "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"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2022043221
ISBN9781032075808 (hbk)
ISBN9781032076188 (pbk)
ISBN(ebk)

Availability

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Electronic Resources Access Content Online ✔ Available