Application of hyperspectral technology in detection of agricultural products and food: A Review
出版年份 2020 全文链接
标题
Application of hyperspectral technology in detection of agricultural products and food: A Review
作者
关键词
-
出版物
Food Science & Nutrition
Volume -, Issue -, Pages -
出版商
Wiley
发表日期
2020-09-03
DOI
10.1002/fsn3.1852
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Visual detection of the moisture content of tea leaves with hyperspectral imaging technology
- (2019) Yuzhen Wei et al. JOURNAL OF FOOD ENGINEERING
- A bi-layer model for nondestructive prediction of soluble solids content in apple based on reflectance spectra and peel pigments
- (2018) Xi Tian et al. FOOD CHEMISTRY
- Heterospectral two-dimensional correlation analysis with near-infrared hyperspectral imaging for monitoring oxidative damage of pork myofibrils during frozen storage
- (2018) Weiwei Cheng et al. FOOD CHEMISTRY
- Hyperspectral imaging for non-destructive prediction of fermentation index, polyphenol content and antioxidant activity in single cocoa beans
- (2018) Nicola Caporaso et al. FOOD CHEMISTRY
- Rapid qualitative and quantitative determination of food colorants by both Raman spectra and Surface-enhanced Raman Scattering (SERS)
- (2018) Yu-jie Ai et al. FOOD CHEMISTRY
- Prediction of banana color and firmness using a novel wavelengths selection method of hyperspectral imaging
- (2018) Chuanqi Xie et al. FOOD CHEMISTRY
- Non-destructive analysis of sucrose, caffeine and trigonelline on single green coffee beans by hyperspectral imaging
- (2018) Nicola Caporaso et al. FOOD RESEARCH INTERNATIONAL
- Hyperspectral imaging detection of decayed honey peaches based on their chlorophyll content
- (2017) Ye Sun et al. FOOD CHEMISTRY
- Non-destructive determination and visualisation of insoluble and soluble dietary fibre contents in fresh-cut celeries during storage periods using hyperspectral imaging technique
- (2017) Ling Yan et al. FOOD CHEMISTRY
- A rapid and nondestructive method to determine the distribution map of protein, carbohydrate and sialic acid on Edible bird’s nest by hyper-spectral imaging and chemometrics
- (2017) Jiyong Shi et al. FOOD CHEMISTRY
- Non-destructive techniques for the detection of fungal infection in cereal grains
- (2017) Irene Orina et al. FOOD RESEARCH INTERNATIONAL
- Non-destructive assessment of the internal quality of intact persimmon using colour and VIS/NIR hyperspectral imaging
- (2017) Sandra Munera et al. LWT-FOOD SCIENCE AND TECHNOLOGY
- Mapping moisture contents in grass carp ( Ctenopharyngodon idella ) slices under different freeze drying periods by Vis-NIR hyperspectral imaging
- (2017) Jia-Huan Qu et al. LWT-FOOD SCIENCE AND TECHNOLOGY
- High pH thresholding of beef with VNIR hyperspectral imaging
- (2017) Stuart O.J. Crichton et al. MEAT SCIENCE
- Nondestructive quantifying total volatile basic nitrogen (TVB-N) content in chicken using hyperspectral imaging (HSI) technique combined with different data dimension reduction algorithms
- (2016) Urmila Khulal et al. FOOD CHEMISTRY
- Determination of total acid content and moisture content during solid-state fermentation processes using hyperspectral imaging
- (2016) Yaodi Zhu et al. JOURNAL OF FOOD ENGINEERING
- Detection of melamine in milk powders using near-infrared hyperspectral imaging combined with regression coefficient of partial least square regression model
- (2016) Jongguk Lim et al. TALANTA
- Monitoring fungal growth on brown rice grains using rapid and non-destructive hyperspectral imaging
- (2015) U. Siripatrawan et al. INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY
- Discrimination of shelled shrimp (Metapenaeus ensis) among fresh, frozen-thawed and cold-stored by hyperspectral imaging technique
- (2015) Jia-Huan Qu et al. LWT-FOOD SCIENCE AND TECHNOLOGY
- Food Safety Evaluation Based on Near Infrared Spectroscopy and Imaging: A Review
- (2014) Xiaping Fu et al. CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
- Effective Feature Extraction and Data Reduction in Remote Sensing Using Hyperspectral Imaging [Applications Corner]
- (2014) Jianchang Ren et al. IEEE SIGNAL PROCESSING MAGAZINE
- Hyperspectral Imaging Applications in Agriculture and Agro-Food Product Quality and Safety Control: A Review
- (2013) Laura M. Dale et al. APPLIED SPECTROSCOPY REVIEWS
- Detecting macronutrients content and distribution in oilseed rape leaves based on hyperspectral imaging
- (2013) Xiaolei Zhang et al. BIOSYSTEMS ENGINEERING
- Chemical-free assessment and mapping of major constituents in beef using hyperspectral imaging
- (2013) Gamal ElMasry et al. JOURNAL OF FOOD ENGINEERING
- Characterization of Volatiles in the Six Most Well-Known Distilled Spirits
- (2013) Yu Ping Zhao et al. JOURNAL OF THE AMERICAN SOCIETY OF BREWING CHEMISTS
- Potential of time series-hyperspectral imaging (TS-HSI) for non-invasive determination of microbial spoilage of salmon flesh
- (2013) Di Wu et al. TALANTA
- Rapid prediction of moisture content of dehydrated prawns using online hyperspectral imaging system
- (2012) Di Wu et al. ANALYTICA CHIMICA ACTA
- Application of Hyperspectral Imaging in Food Safety Inspection and Control: A Review
- (2012) Yao-Ze Feng et al. CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
- Hyperspectral imaging for non-contact analysis of forensic traces
- (2012) G.J. Edelman et al. FORENSIC SCIENCE INTERNATIONAL
- Investigation of fungal development in maize kernels using NIR hyperspectral imaging and multivariate data analysis
- (2012) Paul J. Williams et al. JOURNAL OF CEREAL SCIENCE
- Preliminary Observations on the Ability of Hyperspectral Imaging to Provide Detection and Visualization of Bloodstain Patterns on Black Fabrics
- (2012) Rebecca L. Schuler et al. JOURNAL OF FORENSIC SCIENCES
- Determination of total flavonoids content in fresh Ginkgo biloba leaf with different colors using near infrared spectroscopy
- (2012) Ji-yong Shi et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- Fast detection and visualization of minced lamb meat adulteration using NIR hyperspectral imaging and multivariate image analysis
- (2012) Mohammed Kamruzzaman et al. TALANTA
- Prediction of some quality attributes of lamb meat using near-infrared hyperspectral imaging and multivariate analysis
- (2011) Mohammed Kamruzzaman et al. ANALYTICA CHIMICA ACTA
- Advances in multispectral and hyperspectral imaging for archaeology and art conservation
- (2011) Haida Liang APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING
- Non-destructive determination of water-holding capacity in fresh beef by using NIR hyperspectral imaging
- (2011) Gamal ElMasry et al. FOOD RESEARCH INTERNATIONAL
- Determination of anthocyanin concentration in whole grape skins using hyperspectral imaging and adaptive boosting neural networks
- (2011) Armando Manuel Fernandes et al. JOURNAL OF FOOD ENGINEERING
- Studies on banana fruit quality and maturity stages using hyperspectral imaging
- (2011) P. Rajkumar et al. JOURNAL OF FOOD ENGINEERING
- Near-infrared hyperspectral imaging for predicting colour, pH and tenderness of fresh beef
- (2011) Gamal ElMasry et al. JOURNAL OF FOOD ENGINEERING
- Early detection of toxigenic fungi on maize by hyperspectral imaging analysis
- (2010) A. Del Fiore et al. INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY
- Classification of internally damaged almond nuts using hyperspectral imagery
- (2010) Songyot Nakariyakul et al. JOURNAL OF FOOD ENGINEERING
- Application of NIR hyperspectral imaging for discrimination of lamb muscles
- (2010) Mohammed Kamruzzaman et al. JOURNAL OF FOOD ENGINEERING
- Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review
- (2009) Elhadi Adam et al. WETLANDS ECOLOGY AND MANAGEMENT
- Hyperspectral imaging combined with principal component analysis for bruise damage detection on white mushrooms (Agaricus bisporus)
- (2008) A. A. Gowen et al. JOURNAL OF CHEMOMETRICS
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