Utilization of computer vision and multispectral imaging techniques for classification of cowpea (Vigna unguiculata) seeds
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Utilization of computer vision and multispectral imaging techniques for classification of cowpea (Vigna unguiculata) seeds
Authors
Keywords
Cowpea seeds, Black-eyed seeds, Plant development, Germination, Phenotyping, Chemometric, Multispectral imaging
Journal
Plant Methods
Volume 15, Issue 1, Pages -
Publisher
Springer Nature
Online
2019-03-14
DOI
10.1186/s13007-019-0411-2
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Identification of oil, sugar and crude fiber during tobacco ( Nicotiana tabacum L.) seed development based on near infrared spectroscopy
- (2018) Zhan Li et al. BIOMASS & BIOENERGY
- Classification of white maize defects with multispectral imaging
- (2018) Kate Sendin et al. FOOD CHEMISTRY
- Novel non-destructive quality assessment techniques of onion bulbs: a comparative study
- (2018) Md. Nahidul Islam et al. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE
- Using k-NN to analyse images of diverse germination phenotypes and detect single seed germination in Miscanthus sinensis
- (2018) Danny Awty-Carroll et al. Plant Methods
- Detection of sunn pest-damaged wheat samples using visible/near-infrared spectroscopy based on pattern recognition
- (2018) Zahra Basati et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- Discrimination of haploid and diploid maize kernels via multispectral imaging
- (2017) Gerald N. De La Fuente et al. PLANT BREEDING
- Discrimination of beef muscle based on visible-near infrared multi-spectral features: Textural and spectral analysis
- (2016) Abderrahmane Aït-Kaddour et al. INTERNATIONAL JOURNAL OF FOOD PROPERTIES
- Feasibility of analyzing frost-damaged and non-viable maize kernels based on near infrared spectroscopy and chemometrics
- (2016) Shiqiang Jia et al. JOURNAL OF CEREAL SCIENCE
- Non-invasive sensing of freshness indices of frozen fish and fillets using pretreated excitation–emission matrices
- (2016) Gamal ElMasry et al. SENSORS AND ACTUATORS B-CHEMICAL
- Near-infrared hyperspectral imaging system coupled with multivariate methods to predict viability and vigor in muskmelon seeds
- (2016) Lalit Mohan Kandpal et al. SENSORS AND ACTUATORS B-CHEMICAL
- The Use of Image-Spectroscopy Technology as a Diagnostic Method for Seed Health Testing and Variety Identification
- (2016) Martina Vrešak et al. PLoS One
- Fast virtual histology using X-ray in-line phase tomography: application to the 3D anatomy of maize developing seeds
- (2015) David Rousseau et al. Plant Methods
- Use of Multispectral Imaging in Varietal Identification of Tomato
- (2015) Santosh Shrestha et al. SENSORS
- Viability Prediction of Ricinus cummunis L. Seeds Using Multispectral Imaging
- (2015) Merete Olesen et al. SENSORS
- Freshness estimation of intact frozen fish using fluorescence spectroscopy and chemometrics of excitation–emission matrix
- (2015) Gamal ElMasry et al. TALANTA
- Discrimination of Kernel Quality Characteristics for Sunflower Seeds Based on Multispectral Imaging Approach
- (2014) Fei Ma et al. Food Analytical Methods
- Multispectral imaging as a potential tool for seed health testing of spinach (Spinacia oleracea L.)
- (2014) M. Halkjaer Olesen et al. SEED SCIENCE AND TECHNOLOGY
- Image seedling analysis to evaluate tomato seed physiological potential
- (2014) Vanessa Neumann Silva et al. Revista Ciencia Agronomica
- Nondestructive determination of transgenic Bacillus thuringiensis rice seeds (Oryza sativa L.) using multispectral imaging and chemometric methods
- (2013) Changhong Liu et al. FOOD CHEMISTRY
- Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A Review
- (2012) Gamal Elmasry et al. CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
- Use of partial least squares discriminant analysis on visible-near infrared multispectral image data to examine germination ability and germ length in spinach seeds
- (2012) Nisha Shetty et al. JOURNAL OF CHEMOMETRICS
- Optimal Sample Size for Predicting Viability of Cabbage and Radish Seeds Based on near Infrared Spectra of Single Seeds
- (2012) Nisha Shetty et al. JOURNAL OF NEAR INFRARED SPECTROSCOPY
- Non-destructive determination of water-holding capacity in fresh beef by using NIR hyperspectral imaging
- (2011) Gamal ElMasry et al. FOOD RESEARCH INTERNATIONAL
- Feasibility of near infrared spectroscopy for analyzing corn kernel damage and viability of soybean and corn kernels
- (2011) Lidia Esteve Agelet et al. JOURNAL OF CEREAL SCIENCE
- Classification of Viable and Non-Viable Spinach (Spinacia Oleracea L.) Seeds by Single Seed near Infrared Spectroscopy and Extended Canonical Variates Analysis
- (2011) Merete Halkjaer Olesen et al. JOURNAL OF NEAR INFRARED SPECTROSCOPY
- Do unbalanced data have a negative effect on LDA?
- (2007) Jing-Hao Xue et al. PATTERN RECOGNITION
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started