4.6 Article

Nondestructive detection of total soluble solids in grapes using VMD-RC and hyperspectral imaging

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Automation & Control Systems

Incipient fault diagnosis of bearings based on parameter-optimized VMD and envelope spectrum weighted kurtosis index with a new sensitivity assessment threshold

Ali Dibaj et al.

Summary: Most proposed fault diagnosis methods focus on detecting localized and incipient bearing faults, but it is unclear to what extent of fault severity they are capable of detecting. This study aims to address the crucial issue of defining criteria for incipient defects and provides a measure for assessing a decomposed-based fault diagnosis method using a parameter-optimized VMD approach and a new fault-sensitive index called WKI. Validation is done by investigating simulated vibration signals of a defective bearing at different fault severity and comparing with available methods in the literature.

ISA TRANSACTIONS (2021)

Article Engineering, Chemical

Uncertainty assessment for firmness and total soluble solids of sweet cherries using hyperspectral imaging and multivariate statistics

Reddy R. Pullanagari et al.

Summary: This study explores the potential of hyperspectral imaging for quality assessment in fresh cherry fruits, showing that Gaussian process regression can accurately predict important quality parameters of cherry fruits. Additionally, the predictive models exhibit lower uncertainty, indicating high reliability.

JOURNAL OF FOOD ENGINEERING (2021)

Article Marine & Freshwater Biology

Application of the Variational Mode Decomposition (VMD) method to river tides

Min Gan et al.

Summary: This study explores the application of VMD method as a new tidal analysis tool for river tides, demonstrating its accuracy in analyzing non-stationary tides and avoiding mode mixing. The results show that VMD effectively captures the non-stationary characteristics of tides influenced by river discharge, outperforming EEMD and NS_TIDE in capturing subtidal signals.

ESTUARINE COASTAL AND SHELF SCIENCE (2021)

Article Agronomy

Improving moisture and soluble solids content prediction in pear fruit using near-infrared spectroscopy with variable selection and model updating approach

Puneet Mishra et al.

Summary: Combining variable selection and model updating with recalibration approaches significantly improved the predictive models for quality parameters of pear fruit. Variable selection reduced bias and enhanced accuracy compared to standard partial least-squares regression.

POSTHARVEST BIOLOGY AND TECHNOLOGY (2021)

Article Food Science & Technology

Molecular explication of grape berry-fungal infections and their potential application in recent postharvest infection control strategies

Dhanasekaran Solairaj et al.

Summary: This review paper explores the pathways of fungal pathogenesis in grapes and the environmental factors affecting fungal infections. It emphasizes the molecular aspects of interaction between grape fungal pathogens and grape, as well as recent innovations in control strategies.

TRENDS IN FOOD SCIENCE & TECHNOLOGY (2021)

Article Food Science & Technology

Research on nondestructive identification of grape varieties based on EEMD-DWT and hyperspectral image

Min Xu et al.

Summary: A denoising algorithm based on EEMD-DWT was proposed in this study to identify grape varieties, achieving a high identification accuracy of 99.3125% by combining with CARS-SPA and SVM. The results indicate the feasibility of using HSI technology and machine learning algorithms for discriminating grape varieties, which is of great significance for grape grading and promoting excellent varieties.

JOURNAL OF FOOD SCIENCE (2021)

Article Chemistry, Analytical

Hyperspectral Imaging to Characterize Table Grapes

Mario Gabrielli et al.

Summary: This study successfully established prediction models for sugar, total flavonoid, and total anthocyanin contents in table grapes using hyperspectral imaging technology, providing a new method for characterizing grape quality. Optimized wavelength selection and pre-treatment methods play important roles in the prediction models.

CHEMOSENSORS (2021)

Article Instruments & Instrumentation

Soluble solids content monitoring for shelf-life assessment of table grapes coated with chitosan using hyperspectral imaging

Yuanyuan Shao et al.

Summary: This study highlights the effectiveness of chitosan edible coatings in extending the shelf-life of table grapes, with hyperspectral imaging for SSC monitoring showing promising results. The 1% CTS coating was found to be more effective in extending shelf-life and maintaining postharvest quality.

INFRARED PHYSICS & TECHNOLOGY (2021)

Article Engineering, Chemical

Nondestructive detection of lead content in oilseed rape leaves based on MRF-HHO-SVR and hyperspectral technology

Yan Cao et al.

Summary: Lead pollution is a significant threat to environmental quality and food safety. This study developed a method based on hyperspectral technology for accurate and nondestructive detection of lead content in rape leaves. By improving the random frog algorithm and optimizing the support vector regression model, the combination of hyperspectral technology and the optimal model showed feasibility and practicality for lead content detection in rape leaves.

JOURNAL OF FOOD PROCESS ENGINEERING (2021)

Article Automation & Control Systems

A deep learning based regression method on hyperspectral data for rapid prediction of cadmium residue in lettuce leaves

Zhou Xin et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2020)

Article Engineering, Chemical

Nondestructive detection for egg freshness grade based on hyperspectral imaging technology

Kunshan Yao et al.

JOURNAL OF FOOD PROCESS ENGINEERING (2020)

Article Chemistry, Analytical

Replacement Orthogonal Wavelengths Selection as a new method for multivariate calibration in spectroscopy

Mohammad Goodarzi et al.

MICROCHEMICAL JOURNAL (2019)

Review Chemistry, Analytical

An overview of variable selection methods in multivariate analysis of near-infrared spectra

Yong-Huan Yun et al.

TRAC-TRENDS IN ANALYTICAL CHEMISTRY (2019)

Article Agriculture, Multidisciplinary

Non-destructive detection for mold colonies in rice based on hyperspectra and GWO-SVR

Cong Sunli et al.

JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE (2018)

Article Agriculture, Multidisciplinary

Determination of soluble solid content in multi-origin 'Fuji' apples by using FT-NIR spectroscopy and an origin discriminant strategy

Xiaona Li et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)

Article Agriculture, Multidisciplinary

Comparison of different approaches for the prediction of sugar content in new vintages of whole Port wine grape berries using hyperspectral imaging

Veronique M. Gomes et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2017)

Article Agricultural Engineering

Spatial assessment of soluble solid contents on apple slices using hyperspectral imaging

Changyeun Mo et al.

BIOSYSTEMS ENGINEERING (2017)

Article Food Science & Technology

Nondestructive Measurement of Soluble Solids Content of Kiwifruits Using Near-Infrared Hyperspectral Imaging

Wenchuan Guo et al.

FOOD ANALYTICAL METHODS (2016)

Article Agriculture, Multidisciplinary

Brix, pH and anthocyanin content determination in whole Port wine grape berries by hyperspectral imaging and neural networks

Armando M. Fernandes et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2015)

Article Engineering, Electrical & Electronic

Variational Mode Decomposition

Konstantin Dragomiretskiy et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2014)

Article Agriculture, Multidisciplinary

Application of hyperspectral imaging for prediction of physico-chemical and sensory characteristics of table grapes

Antonietta Baiano et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2012)

Article Agriculture, Multidisciplinary

Soluble solids content and pH prediction and varieties discrimination of grapes based on visible-near infrared spectroscopy

Fang Cao et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2010)

Article Automation & Control Systems

A variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra

Wensheng Cai et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2008)

Review Agronomy

Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy:: A review

Bart M. Nicolai et al.

POSTHARVEST BIOLOGY AND TECHNOLOGY (2007)

Article Chemistry, Analytical

A method for calibration and validation subset partitioning

RKH Galvao et al.

TALANTA (2005)