MARC状态：审校 文献类型：西文图书 浏览次数：41
- 题名/责任者:
- Sensing and artificial Intelligence solutions for food manufacturing / edited by Daniel Hefft and Charles Oluwaseun Adetunji.
- 出版发行项:
- Boca Raton, FL : CRC Press, 2023.
- ISBN:
- 9781032075808 :
- ISBN:
- 9781032076188
- 载体形态项:
- 174 pages : illustrations ; 24 cm
- 附加个人名称:
- Hefft, Daniel, editor.
- 附加个人名称:
- Adetunji, Charles Oluwaseun, editor.
- 论题主题:
- Food processing plants-Automation.
- 论题主题:
- Food industry and trade-Data processing.
- 论题主题:
- Food science-Data processing.
- 论题主题:
- Artificial intelligence.
- 论题主题:
- Detectors.
- 中图法分类号:
- TS201.2
- 一般附注:
- Description based on print version record.
- 书目附注:
- Includes bibliographical references and index.
- 摘要附注:
- "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"--
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