Developing a new ensemble approach with multi-class SVMs for Manuka honey quality classification

A machine learning workflow for raw food spectroscopic classification in a future industry

(2020) Panagiotis Tsakanikas et al.   Scientific Reports

Signifying the information carrying bands of hyperspectral imaging for honey botanical origin classification

(2020) Ary Noviyanto et al.   JOURNAL OF FOOD ENGINEERING

Alternative data mining/machine learning methods for the analytical evaluation of food quality and authenticity – A review

(2019) Ana M. Jiménez-Carvelo et al.   FOOD RESEARCH INTERNATIONAL

Segmentation and calibration of hyperspectral imaging for honey analysis

(2019) Ary Noviyanto et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Chocolate Quality Assessment Based on Chemical Fingerprinting Using Near Infra-red and Machine Learning Modeling

(2019) Gunaratne et al.   Foods

Honey botanical origin classification using hyperspectral imaging and machine learning

(2019) Ary Noviyanto et al.   JOURNAL OF FOOD ENGINEERING

VIS/NIR imaging application for honey floral origin determination

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

Fluorescence markers in some New Zealand honeys

(2016) Jessie Bong et al.   FOOD CHEMISTRY

Detection and Quantification of Adulteration in Honey through Near Infrared Spectroscopy

(2015) Chellakutty Kumaravelu et al.   INTERNATIONAL JOURNAL OF FOOD PROPERTIES

Honey characterization using computer vision system and artificial neural networks

(2014) Sahameh Shafiee et al.   FOOD CHEMISTRY

Near infrared (NIR) hyperspectral imaging to classify fungal infected date fruits

(2014) M.A. Teena et al.   JOURNAL OF STORED PRODUCTS RESEARCH

Determination of technological maturity of grapes and total phenolic compounds of grape skins in red and white cultivars during ripening by near infrared hyperspectral image: A preliminary approach

(2013) Julio Nogales-Bueno et al.   FOOD CHEMISTRY

Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part II: Applications

(2013) Di Wu et al.   Innovative Food Science & Emerging Technologies

Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part I: Fundamentals

(2013) Di Wu et al.   Innovative Food Science & Emerging Technologies

Potential application of machine vision to honey characterization

(2013) Sahameh Shafiee et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

Grape seed characterization by NIR hyperspectral imaging

(2012) Francisco J. Rodríguez-Pulido et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Shortwave infrared hyperspectral imaging for detecting sour skin (Burkholderia cepacia)-infected onions

(2011) Weilin Wang et al.   JOURNAL OF FOOD ENGINEERING

CLASSIFICATION OF IMBALANCED DATA: A REVIEW

(2009) YANMIN SUN et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE