Comparative Study of Several Machine Learning Algorithms for Classification of Unifloral Honeys

Honey Volatiles as a Fingerprint for Botanical Origin—A Review on their Occurrence on Monofloral Honeys

(2020) Alexandra M. Machado et al.   MOLECULES

Botanical origin discrimination of Greek honeys: physicochemical parameters versus Raman spectroscopy

(2020) Marinos Xagoraris et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Classification of Unifloral Honeys from SARDINIA (Italy) by ATR-FTIR Spectroscopy and Random Forest

(2020) Marco Ciulu et al.   MOLECULES

Multivariate and machine learning approaches for honey botanical origin authentication using near infrared spectroscopy

(2019) Vittoria Bisutti et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: A review

(2019) Camila Maione et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Physicochemical Properties and Pollen Profile of Oak Honeydew and Evergreen Oak Honeydew Honeys from Spain: A Comparative Study

(2019) María Carmen Seijo et al.   Foods

Therapeutic and preventive properties of honey and its bioactive compounds in cancer: an evidence-based review

(2019) Sadia Afrin et al.   NUTRITION RESEARCH REVIEWS

Characterization and Botanical Differentiation of Monofloral and Multifloral Honeys Produced in Cyprus, Greece, and Egypt Using Physicochemical Parameter Analysis and Mineral Content in Conjunction with Supervised Statistical Techniques

(2018) Ioannis K. Karabagias et al.   Journal of Analytical Methods in Chemistry

Phenolic Compounds in Honey and Their Associated Health Benefits: A Review

(2018) Danila Cianciosi et al.   MOLECULES

Volatile profile in the accurate labelling of monofloral honey. The case of lavender and thyme honey

(2017) Isabel Escriche et al.   FOOD CHEMISTRY

Application of analytical methods in authentication and adulteration of honey

(2017) Amna Jabbar Siddiqui et al.   FOOD CHEMISTRY

VIS/NIR imaging application for honey floral origin determination

(2017) Saeid Minaei et al.   INFRARED PHYSICS & TECHNOLOGY

A new model to identify botanical origin of Polish honeys based on the physicochemical parameters and chemometric analysis

(2017) Stanisław Popek et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Botanical authentication of honeys based on Raman spectra

(2017) Mircea Oroian et al.   Journal of Food Measurement and Characterization

Neural networks applied to discriminate botanical origin of honeys

(2015) Ofélia Anjos et al.   FOOD CHEMISTRY

The discrimination of honey origin using melissopalynology and Raman spectroscopy techniques coupled with multivariate analysis

(2015) Francesca Corvucci et al.   FOOD CHEMISTRY

Feature Selection with theBorutaPackage

(2015) Miron B. Kursa et al.   Journal of Statistical Software

Authentication of the botanical origin of unifloral honey by infrared spectroscopy coupled with support vector machine algorithm

(2014) L Lenhardt et al.   PHYSICA SCRIPTA

Analysis of volatile compounds in New Zealand unifloral honeys by SPME–GC–MS and chemometric-based classification of floral source

(2013) Laura E. Revell et al.   Journal of Food Measurement and Characterization

Classification of Chinese honeys according to their floral origin by near infrared spectroscopy

(2012) Lanzhen Chen et al.   FOOD CHEMISTRY

Carbohydrate composition of Spanish unifloral honeys

(2011) E. de la Fuente et al.   FOOD CHEMISTRY

Rapid honey characterization and botanical classification by an electronic tongue

(2011) Nikola Major et al.   TALANTA

Feature selection in omics prediction problems using cat scores and false nondiscovery rate control

(2010) Miika Ahdesmäki et al.   Annals of Applied Statistics

Differentiation of monofloral citrus, rosemary, eucalyptus, lavender, thyme and heather honeys based on volatile composition and sensory descriptive analysis

(2008) L. Castro-Vázquez et al.   FOOD CHEMISTRY