| LDR | | 03527cmm u2200589 i 4500 |
| 001 | | 000000327565 |
| 003 | | OCoLC |
| 005 | | 20240307140030 |
| 006 | | m d |
| 007 | | cr ||||||||||| |
| 008 | | 220907s2023 flu ob 001 0 eng |
| 010 | |
▼a 2022043222 |
| 019 | |
▼a 1391229089 |
| 020 | |
▼a 9781003207955
▼q (ebk) |
| 020 | |
▼a 1003207952 |
| 020 | |
▼a 9781000844498
▼q (electronic bk.) |
| 020 | |
▼a 1000844498
▼q (electronic bk.) |
| 020 | |
▼z 9781032075808
▼q (hbk) |
| 020 | |
▼z 9781032076188
▼q (pbk) |
| 035 | |
▼a 3579220
▼b (N$T) |
| 035 | |
▼a (OCoLC)1358404117
▼z (OCoLC)1391229089 |
| 040 | |
▼a DLC
▼b eng
▼e rda
▼c DLC
▼d N$T
▼d YDX
▼d 248032 |
| 042 | |
▼a pcc |
| 049 | |
▼a MAIN |
| 050 | 00 |
▼a TP372.8 |
| 082 | 00 |
▼a 664/.024
▼2 23/eng/20230111 |
| 245 | 00 |
▼a Sensing and artificial Intelligence solutions for food manufacturing /
▼c edited by Daniel Hefft and Charles Oluwaseun Adetunji. |
| 250 | |
▼a First edition. |
| 264 | 1 |
▼a Boca Raton :
▼b CRC Press, Taylor & Francis Group,
▼c 2023. |
| 300 | |
▼a 1 online resource |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
▼b c
▼2 rdamedia |
| 338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
| 504 | |
▼a Includes bibliographical references and index. |
| 520 | |
▼a "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"--
▼c Provided by publisher. |
| 588 | |
▼a Description based on print version record and CIP data provided by publisher. |
| 590 | |
▼a OCLC control number change |
| 650 | 0 |
▼a Food processing plants
▼x Automation. |
| 650 | 0 |
▼a Food industry and trade
▼x Data processing. |
| 650 | 0 |
▼a Food science
▼x Data processing. |
| 650 | 0 |
▼a Artificial intelligence. |
| 650 | 0 |
▼a Detectors. |
| 650 | 7 |
▼a Artificial intelligence.
▼2 fast
▼0 (OCoLC)fst00817247 |
| 650 | 7 |
▼a Detectors.
▼2 fast
▼0 (OCoLC)fst00891594 |
| 650 | 7 |
▼a Food industry and trade
▼x Data processing.
▼2 fast
▼0 (OCoLC)fst00930857 |
| 650 | 7 |
▼a Food processing plants
▼x Automation.
▼2 fast
▼0 (OCoLC)fst00931015 |
| 700 | 1 |
▼a Hefft, Daniel,
▼e editor. |
| 700 | 1 |
▼a Adetunji, Charles Oluwaseun,
▼e editor. |
| 776 | 08 |
▼i Print version:
▼t Sensing and artificial Intelligence solutions for food manufacturing
▼b First edition.
▼d Boca Raton : CRC Press, Taylor & Francis Group, 2023
▼z 9781032075808
▼w (DLC) 2022043221 |
| 856 | 40 |
▼3 EBSCOhost
▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3579220 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 3579220 |
| 990 | |
▼a 관리자 |
| 994 | |
▼a 92
▼b N$T |