Related references
Note: Only part of the references are listed.Nondestructive determination of soluble solids content, firmness, and moisture content of Longxiang pears during maturation using near-infrared spectroscopy
Dayang Liu et al.
JOURNAL OF FOOD PROCESSING AND PRESERVATION (2022)
Rapid and non-destructive detection of natural mildew degree of postharvest Camellia oleifera fruit based on hyperspectral imaging
Hongzhe Jiang et al.
INFRARED PHYSICS & TECHNOLOGY (2022)
High throughput analysis of leaf chlorophyll content in sorghum using RGB, hyperspectral, and fluorescence imaging and sensor fusion
Huichun Zhang et al.
PLANT METHODS (2022)
A Comparison of PCA-LDA and PLS-DA Techniques for Classification of Vibrational Spectra
Maria Lasalvia et al.
APPLIED SCIENCES-BASEL (2022)
Lightweight Single Image Super-Resolution with Selective Channel Processing Network
Hongyu Zhu et al.
SENSORS (2022)
Wildfire Identification Based on an Improved Two-Channel Convolutional Neural Network
Ying-Qing Guo et al.
FORESTS (2022)
Tender Leaf Identification for Early-Spring Green Tea Based on Semi-Supervised Learning and Image Processing
Jie Yang et al.
AGRONOMY-BASEL (2022)
Research on the Prediction of Green Plum Acidity Based on Improved XGBoost
Yang Liu et al.
SENSORS (2021)
Chemometric pre-processing can negatively affect the performance of near-infrared spectroscopy models for fruit quality prediction
Puneet Mishra et al.
TALANTA (2021)
Postharvest Processing and Storage Methods for Camellia oleifera Seeds
Guangfei Zhu et al.
FOOD REVIEWS INTERNATIONAL (2020)
Classification for Penicillium expansum Spoilage and Defect in Apples by Electronic Nose Combined with Chemometrics
Zhiming Guo et al.
SENSORS (2020)
Towards fruit maturity estimation using NIR spectroscopy
Syed Sohaib Ali Shah et al.
INFRARED PHYSICS & TECHNOLOGY (2020)
Identification of tomato maturity based on multinomial logistic regression with kernel clustering by integrating color moments and physicochemical indices
Yiping Jiang et al.
JOURNAL OF FOOD PROCESS ENGINEERING (2020)
Visible-NIR 'point' spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use
Kerry B. Walsh et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2020)
Measurement of Early Disease Blueberries Based on Vis/NIR Hyperspectral Imaging System
Yuping Huang et al.
SENSORS (2020)
Identification of Apple Varieties Using a Multichannel Hyperspectral Imaging System
Yuping Huang et al.
SENSORS (2020)
Online Sorting of the Film on Cotton Based on Deep Learning and Hyperspectral Imaging
Chao Ni et al.
IEEE ACCESS (2020)
Comparative transcriptomic analysis of high- and low-oil Camellia oleifera reveals a coordinated mechanism for the regulation of upstream and downstream multigenes for high oleic acid accumulation
Bo Wu et al.
3 BIOTECH (2019)
A hybrid variable selection strategy based on continuous shrinkage of variable space in multivariate calibration
Yong-Huan Yun et al.
ANALYTICA CHIMICA ACTA (2019)
Peanut maturity classification using hyperspectral imagery
Sheng Zou et al.
BIOSYSTEMS ENGINEERING (2019)
Classification of Cape Gooseberry Fruit According to Its Level of Ripeness Using Machine Learning Techniques and Different Color Spaces
Wilson Castro et al.
IEEE ACCESS (2019)
Quality assessment and discrimination of intact white and red grapes from Vitis vinifera L. at five ripening stages by visible and near-infrared spectroscopy
Hui Xiao et al.
SCIENTIA HORTICULTURAE (2018)
Use of principal component analysis (PCA) and hierarchical cluster analysis (HCA) for multivariate association between bioactive compounds and functional properties in foods: A critical perspective
Daniel Granato et al.
TRENDS IN FOOD SCIENCE & TECHNOLOGY (2018)
Study on biomolecules in extractives of Camellia oleifera fruit shell by GC-MS
Yizhang Xie et al.
SAUDI JOURNAL OF BIOLOGICAL SCIENCES (2018)
Evaluation of factors in development of Vis/NIR spectroscopy models for discriminating PSE, DFD and normal broiler breast meat
Hongzhe Jiang et al.
BRITISH POULTRY SCIENCE (2017)
Hyperspectral imaging analysis for ripeness evaluation of strawberry with support vector machine
Chu Zhang et al.
JOURNAL OF FOOD ENGINEERING (2016)
Application of Visible/Near-Infrared Spectroscopy Combined with Machine Vision Technique to Evaluate the Ripeness of Melons (Cucumis melo L.)
Aichen Wang et al.
FOOD ANALYTICAL METHODS (2015)
Assessment of banana fruit maturity by image processing technique
D. Surya Prabha et al.
JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE (2015)
Ripeness Classification of Astringent Persimmon Using Hyperspectral Imaging Technique
Xuan Wei et al.
FOOD AND BIOPROCESS TECHNOLOGY (2014)
Intelligent Color Vision System for Ripeness Classification of Oil Palm Fresh Fruit Bunch
Norasyikin Fadilah et al.
SENSORS (2012)
Variables selection methods in near-infrared spectroscopy
Zou Xiaobo et al.
ANALYTICA CHIMICA ACTA (2010)
Successive projections algorithm combined with uninformative variable elimination for spectral variable selection
Shengfeng Ye et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2008)
A multipurpose portable instrument for determining ripeness in wine grapes using NIR spectroscopy
Manuel Larrain et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2008)
Rapid analysis of sugars in fruit juices by FT-NIR spectroscopy
LE Rodriguez-Saona et al.
CARBOHYDRATE RESEARCH (2001)
The successive projections algorithm for variable selection in spectroscopic multicomponent analysis
MCU Araújo et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2001)