☆ 4.7 Article

Rapid and accurate classification of Aspergillus ochraceous contamination in Robusta green coffee bean through near-infrared spectral analysis using machine learning

FOOD CONTROL (2023)

Related references

Note: Only part of the references are listed.

Article Multidisciplinary Sciences

Performance comparison of different classification algorithms applied to the diagnosis of familial hypercholesterolemia in paediatric subjects

Joao Albuquerque et al.

Summary: This study aims to explore alternative classification methods for the diagnosis of Familial Hypercholesterolemia (FH) based on various biochemical and biological indicators. Logistic regression (LR), decision tree (DT), random forest (RF), and naive Bayes (NB) algorithms showed similar accuracy, specificity, and positive predictive values. LR and RF models demonstrated higher sensitivity and G-mean values compared to DT. The classification algorithms showed significantly better performance than the traditional clinical criteria (Simon Broome) for FH diagnosis, with higher accuracy, specificity, and G-mean values.

SCIENTIFIC REPORTS (2022)

Add to Collection

Article Agriculture, Multidisciplinary

Real-time defect inspection of green coffee beans using NIR snapshot hyperspectral imaging

Shih-Yu Chen et al.

Summary: This study proposes a real-time coffee-bean defect inspection algorithm using a near-infrared hyperspectral sensor and deep learning. The algorithm achieves high accuracy and real-time sorting speeds, which is considerably beneficial for smart agriculture and subsequent applications. Commercializing the algorithm with a robot can create a comprehensive yet affordable coffee-bean real-time inspection system, reducing labor costs and advancing smart agriculture.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2022)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Variable selection for Naive Bayes classification

Rafael Blanquero et al.

Summary: The proposed sparse Naive Bayes classifier takes into account the correlation structure of features, allows for flexible selection of performance measures, and includes performance constraints for groups of higher interest. This approach leads to competitive results in terms of accuracy, sparsity, and running times for balanced datasets, while also achieving a better compromise between classification rates for different classes in unbalanced datasets.

COMPUTERS & OPERATIONS RESEARCH (2021)

Add to Collection

Article Food Science & Technology

Potential of Near Infrared Spectroscopy as a Rapid Method to Discriminate OTA and Non-OTA-Producing Mould Species in a Dry-Cured Ham Model System

Eva Cebrian et al.

Summary: The ripening process of dry-cured meat products involves the development of fungi on the surface, which can be beneficial or health-risky depending on the production of mycotoxins. Near-infrared spectroscopy coupled with Support Vector Machines-Discriminant Analysis models showed high potential for detecting OTA-producing moulds on dry-cured ham agar. Promising results were obtained for predicting OTA-producing species, demonstrating the efficiency of this approach for real-time monitoring of dry-cured ham surfaces.

TOXINS (2021)

Add to Collection

Article Food Science & Technology

Top-spray fluidization coating of paddy rice with zinc oxide nanoparticles to reduce infection fromAspergillussp

Pornprapa Kongtragoul et al.

JOURNAL OF FOOD PROCESSING AND PRESERVATION (2020)

Add to Collection

Article Environmental Sciences

Detection of Insect Damage in Green Coffee Beans Using VIS-NIR Hyperspectral Imaging

Shih-Yu Chen et al.

REMOTE SENSING (2020)

Add to Collection

Article Agronomy

SPORT pre-processing can improve near-infrared quality prediction models for fresh fruits and agro-materials

Puneet Mishra et al.

POSTHARVEST BIOLOGY AND TECHNOLOGY (2020)

Add to Collection

Article Food Science & Technology

On-line detection of toxigenic fungal infection in wheat by visible/near infrared spectroscopy

Fei Shen et al.

LWT-FOOD SCIENCE AND TECHNOLOGY (2019)

Add to Collection

Article Chemistry, Multidisciplinary

Quality and Defect Inspection of Green Coffee Beans Using a Computer Vision System

Mauricio Garcia et al.

APPLIED SCIENCES-BASEL (2019)

Add to Collection

Article Medical Informatics

Comparing different supervised machine learning algorithms for disease prediction

Shahadat Uddin et al.

BMC MEDICAL INFORMATICS AND DECISION MAKING (2019)

Add to Collection

Review Food Science & Technology

Occurrence of Ochratoxin A in Coffee: Threads and Solutions-A Mini-Review

Ana Lucia Leitao

BEVERAGES (2019)

Add to Collection

Article Food Science & Technology

Detection of Aspergillus spp. contamination levels in peanuts by near infrared spectroscopy and electronic nose

Fei Shen et al.

FOOD CONTROL (2018)

Add to Collection

Article Chemistry, Analytical

Portable near infrared spectroscopy applied to quality control of Brazilian coffee

Radigya M. Correia et al.

TALANTA (2018)

Add to Collection

Article Microbiology

Diversity of Cell Wall Related Proteins in Human Pathogenic Fungi

Anna Muszewska et al.

JOURNAL OF FUNGI (2018)

Add to Collection

Article Chemistry, Applied

Application of near infrared spectroscopy to detect mould contamination in tobacco

Lei Yang et al.

JOURNAL OF NEAR INFRARED SPECTROSCOPY (2015)

Add to Collection

Review Food Science & Technology

Application of infrared spectral techniques on quality and compositional attributes of coffee: An overview

Douglas Fernandes Barbin et al.

FOOD RESEARCH INTERNATIONAL (2014)

Add to Collection

Article Entomology

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

M. A. Teena et al.

JOURNAL OF STORED PRODUCTS RESEARCH (2014)

Add to Collection

Article Food Science & Technology

Application of near infrared spectroscopy to detect aflatoxigenic fungal contamination in rice

C. Dachoupakan Sirisomboon et al.

FOOD CONTROL (2013)

Add to Collection

Proceedings Paper Engineering, Civil

Monitoring of wood decay by near infrared spectroscopy

Anna Sandak et al.

STRUCTURAL HEALTH ASSESSMENT OF TIMBER STRUCTURES (2013)

Add to Collection

Article Food Science & Technology

Presence of ochratoxin A on the surface of dry-cured Iberian ham after initial fungal growth in the drying stage

Alicia Rodriguez et al.

MEAT SCIENCE (2012)

Add to Collection

Article Food Science & Technology

Effect of two different roasting techniques on the Ochratoxin A (OTA) reduction in coffee beans (Coffea arabica)

O. Castellanos-Onorio et al.

FOOD CONTROL (2011)

Add to Collection

Article Biochemical Research Methods

Fast Kernel Discriminant Analysis for Classification of Liver Cancer Mass Spectra

Jung Hun Oh et al.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2011)

Add to Collection

Review Chemistry, Analytical

Review of the most common pre-processing techniques for near-infrared spectra

Asmund Rinnan et al.

TRAC-TRENDS IN ANALYTICAL CHEMISTRY (2009)

Add to Collection

Article Chemistry, Analytical

Near infrared spectroscopy: An analytical tool to predict coffee roasting degree

Laura Alessandrini et al.

ANALYTICA CHIMICA ACTA (2008)

Add to Collection

Article Agriculture, Multidisciplinary

Natural occurrence of ochratoxin a and antioxidant activities of green and roasted coffees and corresponding byproducts

Aurora Napolitano et al.

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY (2007)

Add to Collection

Article Chemistry, Analytical

Feasibility of near-infrared spectroscopy to detect and to quantify adulterants in cow milk

Sumaporn Kasemsumran et al.

ANALYTICAL SCIENCES (2007)

Add to Collection

Article Instruments & Instrumentation

Near-infrared spectra of Penicillium camemberti strains separated by extended multiplicative signal correction improved prediction of physical and chemical variations

M Decker et al.

APPLIED SPECTROSCOPY (2005)

Add to Collection

© Peeref 2019-2024. All rights reserved.