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Fast, non-destructive detection technology and equipment for food quality and safety is a powerful technical support tool to ensure the development of food industry informatization and intelligence, with the advantages of fast speed, convenient operation, and easy online inspection. During the past two decades, such technologies have found numerous successful applications for food and agricultural product detection and processing. Owing to improvements in the manufacturing of photoelectric sensor pieces and progress in artificial intelligence and software algorithms, fast non-destructive detection technologies are able to provide more accurate, reliable, and stable solutions for food quality and safety detection and processing. They are closely integrated with the Internet of Things and intelligent manufacturing, promoting a new wave of innovation in intelligent manufacturing in the food industry. The application of new sensing technology and equipment in the fast, non-destructive detection of food has always been at the forefront of scientific and technological research. This Special Issue aims to focus on the latest research progress of this application and jointly discuss the focus of development of this research direction.

Titel:	Fast Non-destructive Detection Technology and Equipment for Food Quality and Safety
Autor/in / Beteiligte Person:	Guo, Zhiming ; Zhang, Zhao ; Hu, Dong
Link:	View record at Directory of Open Access Books (Volltext)
Veröffentlichung:	Basel: MDPI - Multidisciplinary Digital Publishing Institute, 2023
Medientyp:	E-Book
Umfang:	348
ISBN:	978-3-0365-9324-1 (print) ; 978-3-0365-9325-8 (print)
DOI:	10.3390/books978-3-0365-9325-8
Schlagwort:	maize moldy level catalase activity hyperspectral image data fusion feature selection fruit quality monitoring room-temperature ethylene sensor density functional theory adsorption energy band energy alignment apple NIR size correction extinction coefficient fruit diameter difference acceptability benchtop NMR mandarins NMR successive projective algorithm uninformative variable elimination support vector regression Korla fragrant pear stone cell content intelligent evaluation cultivation visible/near infrared spectrum fresh jujube model update variable fusion defective apples apple grading deep learning object detection semantic segmentation shrimp hot air drying quality change hyperspectral images low field magnetic resonance micro Raman microfluidic chip fungal spores crop disease numerical simulation degree of milling multi-scale information fusion residual network model Bayesian optimization algorithm hyperspectral imaging maize seeds defect detection convolutional neural network tomato leaf mildew terahertz time-domain spectroscopy near infrared hyperspectral technology multi-source information fusion YOLOv5 walnut kernels impurities detection small object detection liposomes high stability freshness bi-layer indicator light penetration depth spatial-frequency domain imaging depth-resolved bruise scattering near infrared spectroscopy vegetables anthocyanidins fast determination Curcumae Longae Rhizoma volatile oil 60Co GC–IMS SERS detection chromium contamination tea sample carbimazole hydrolysate Au@Ag nanoparticles PAEs Raman DFT HF theoretical study gas sensor spoilage monitoring early warning logistics control simulated annealing surface-enhanced Raman spectroscopy flexible substrate polycyclic aromatic hydrocarbons in situ detection common carp texture machine learning visualization thema EDItEUR:G Reference, Information and Interdisciplinary subjects:GP Research and information: general thema EDItEUR:P Mathematics and Science:PS Biology, life sciences thema EDItEUR:T Technology, Engineering, Agriculture, Industrial processes
Sonstiges:	Nachgewiesen in: Directory of Open Access Books Sprachen: English Document Type: eBook File Description: application/octet-stream Language: English Rights: Attribution 4.0 International ; URL: https://creativecommons.org/licenses/by/4.0/ Notes: ONIX_20231130_9783036593241_255

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Fast Non-destructive Detection Technology and Equipment for Food Quality and Safety