4.4 Article

Near Infrared Hyperspectral Imaging for White Maize Classification According to Grading Regulations

Related references

Note: Only part of the references are listed.
Review Instruments & Instrumentation

Near-Infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains

Nicola Caporaso et al.

APPLIED SPECTROSCOPY REVIEWS (2018)

Article Chemistry, Applied

Classification of white maize defects with multispectral imaging

Kate Sendin et al.

FOOD CHEMISTRY (2018)

Article Chemistry, Applied

Protein content prediction in single wheat kernels using hyperspectral imaging

Nicola Caporaso et al.

FOOD CHEMISTRY (2018)

Review Food Science & Technology

Near infrared hyperspectral imaging in quality and safety evaluation of cereals

Kate Sendin et al.

CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION (2018)

Article Chemistry, Applied

Classification of maize kernels using NIR hyperspectral imaging

Paul J. Williams et al.

FOOD CHEMISTRY (2016)

Article Food Science & Technology

Use of Hyperspectral Imaging to Discriminate the Variety and Quality of Rice

Lu Wang et al.

FOOD ANALYTICAL METHODS (2015)

Review Instruments & Instrumentation

Hyperspectral Imaging Applications in Agriculture and Agro-Food Product Quality and Safety Control: A Review

Laura M. Dale et al.

APPLIED SPECTROSCOPY REVIEWS (2013)

Article Automation & Control Systems

A new approach for discrimination of objects on hyperspectral images

Sergey Kucheryavskiy

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2013)

Article Food Science & Technology

Investigation of fungal development in maize kernels using NIR hyperspectral imaging and multivariate data analysis

Paul J. Williams et al.

JOURNAL OF CEREAL SCIENCE (2012)

Article Chemistry, Applied

Classification of maize kernel hardness using near infrared hyperspectral imaging

Cushla M. McGoverin et al.

JOURNAL OF NEAR INFRARED SPECTROSCOPY (2012)

Article Biochemical Research Methods

Characterisation of non-viable whole barley, wheat and sorghum grains using near-infrared hyperspectral data and chemometrics

Cushla M. McGoverin et al.

ANALYTICAL AND BIOANALYTICAL CHEMISTRY (2011)

Article Agriculture, Multidisciplinary

Identification of insect-damaged wheat kernels using short-wave near-infrared hyperspectral and digital colour imaging

Chandra B. Singh et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2010)

Article Food Science & Technology

Early detection of toxigenic fungi on maize by hyperspectral imaging analysis

A. Del Fiore et al.

INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY (2010)

Review Agriculture, Multidisciplinary

Hardness Methods for Testing Maize Kernels

Glen Fox et al.

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY (2009)

Article Agriculture, Multidisciplinary

Near Infrared Hyperspectral Imaging for the Evaluation of Endosperm Texture in Whole Yellow Maize (Zea maize L.) Kernels

Marena Manley et al.

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY (2009)

Review Food Science & Technology

Hyperspectral imaging - an emerging process analytical tool for food quality and safety control

A. A. Gowen et al.

TRENDS IN FOOD SCIENCE & TECHNOLOGY (2007)

Article Chemistry, Applied

Detection of scab-damaged hard red spring wheat kernels by near-infrared reflectance

SR Delwiche et al.

CEREAL CHEMISTRY (2004)

Article Automation & Control Systems

Partial least squares for discrimination

M Barker et al.

JOURNAL OF CHEMOMETRICS (2003)